feat: add conversation memory pipeline

.gitea/workflows/npm-release.yml

@@ -0,0 +1,116 @@
+name: npm release
+
+on:
+  push:
+    tags:
+      - 'v*'
+      - '[0-9]*'
+
+permissions:
+  contents: read
+
+defaults:
+  run:
+    shell: bash
+
+jobs:
+  verify:
+    name: verify
+    runs-on: ubuntu-latest
+    container:
+      image: node:20-bookworm
+    timeout-minutes: 30
+
+    steps:
+      - name: Install release tools
+        run: |
+          set -euo pipefail
+          apt-get update
+          apt-get install -y git curl ca-certificates
+          curl -fsSL https://bun.sh/install | bash -s -- bun-v1.3.13
+          install -m 0755 /root/.bun/bin/bun /usr/local/bin/bun
+          node --version
+          npm --version
+          bun --version
+
+      - name: Clone tagged source
+        run: |
+          set -euo pipefail
+          REPO_URL="${{ gitea.server_url }}/${{ gitea.repository }}.git"
+          AUTH_HEADER="$(printf '%s' '${{ gitea.actor }}:${{ secrets.GITEA_TOKEN }}' | base64 -w0)"
+          git -c http.extraHeader="Authorization: Basic $AUTH_HEADER" clone --depth 1 --branch "${{ gitea.ref_name }}" "$REPO_URL" repo
+          git -C repo rev-parse HEAD
+
+      - name: Verify release tag matches package version
+        working-directory: repo
+        run: |
+          set -euo pipefail
+          TAG_NAME="${{ gitea.ref_name }}"
+          PACKAGE_VERSION="$(node -p "require('./package.json').version")"
+
+          if [ "$TAG_NAME" = "v$PACKAGE_VERSION" ] || [ "$TAG_NAME" = "$PACKAGE_VERSION" ]; then
+            echo "Release tag $TAG_NAME matches package version $PACKAGE_VERSION"
+            exit 0
+          fi
+
+          echo "Tag $TAG_NAME does not match package.json version $PACKAGE_VERSION" >&2
+          exit 1
+
+      - name: Run verify pipeline
+        working-directory: repo
+        run: |
+          set -euo pipefail
+          bun install --frozen-lockfile
+          bun run test
+          bun run check
+          bun run build
+
+  release:
+    name: publish to npm
+    runs-on: ubuntu-latest
+    container:
+      image: node:20-bookworm
+    timeout-minutes: 30
+    needs:
+      - verify
+
+    steps:
+      - name: Install release tools
+        run: |
+          set -euo pipefail
+          apt-get update
+          apt-get install -y git curl ca-certificates
+          curl -fsSL https://bun.sh/install | bash -s -- bun-v1.3.13
+          install -m 0755 /root/.bun/bin/bun /usr/local/bin/bun
+          node --version
+          npm --version
+          bun --version
+
+      - name: Clone tagged source
+        run: |
+          set -euo pipefail
+          REPO_URL="${{ gitea.server_url }}/${{ gitea.repository }}.git"
+          AUTH_HEADER="$(printf '%s' '${{ gitea.actor }}:${{ secrets.GITEA_TOKEN }}' | base64 -w0)"
+          git -c http.extraHeader="Authorization: Basic $AUTH_HEADER" clone --depth 1 --branch "${{ gitea.ref_name }}" "$REPO_URL" repo
+          git -C repo rev-parse HEAD
+
+      - name: Install dependencies
+        working-directory: repo
+        run: |
+          set -euo pipefail
+          bun install --frozen-lockfile
+
+      - name: Build package
+        working-directory: repo
+        run: |
+          set -euo pipefail
+          bun run build
+
+      - name: Publish package to npm
+        working-directory: repo
+        env:
+          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
+        run: |
+          set -euo pipefail
+          printf '//registry.npmjs.org/:_authToken=%s\n' "$NODE_AUTH_TOKEN" > ~/.npmrc
+          npm publish

CHANGELOG.md

@@ -0,0 +1,12 @@
+# Changelog
+
+## 0.1.1
+
+- add an optional two-stage conversation memory pipeline with classifier and extractor models
+- store approved inbound and first-pass outbound memories back into the persona IdentityDB space with turn-trace metadata
+- skip re-persisting exact duplicate extracted memories by domain and statement
+- expose the new conversation memory pipeline through the public `conversation` module exports
+
+## 0.1.0
+
+- initial public BoxBrain framework release

README.md

@@ -16,6 +16,7 @@ The project is framework-first rather than product-first. The current core libra
 - availability snapshots with current + next transition calculation
 - DM-style conversation orchestration for inbound replies and proactive openings
 - delegated mandatory/contextual memory retrieval pipelines for conversation turns
+- optional two-stage conversation memory extraction pipeline for durable inbound/outbound memories
 - human-like first-reply delay and typing delay utilities
 - farewell-style refusal flows that can trigger availability-changing tool calls
 
@@ -34,6 +35,37 @@ bun run check
 bun run build
 ```
 
+## Source layout
+
+The library is now grouped by domain under `src/`:
+
+- `src/core/` — shared adapter, type, and IdentityDB helper contracts
+- `src/persona/` — persona initialization service
+- `src/schedule/` — schedule generation and pruning service
+- `src/availability/` — availability state service
+- `src/conversation/` — DM turn orchestration service
+- `src/memory/` — fact-draft persistence service
+- `src/timing/` — typing/reply timing profile helpers
+- `src/providers/grok/` — Grok API client and adapter bundle
+
+Each domain now exposes a class-based service API in addition to the existing functional helpers so consumers can organize stateful integrations more cleanly.
+
+## Conversation memory pipeline
+
+Conversation turns can now optionally run a two-stage durable-memory pipeline:
+
+1. a `classifierModel` decides whether each inbound or first-pass outbound message is worth remembering
+2. an `extractorModel` converts only approved messages into IdentityDB-ready fact drafts
+3. extracted facts are stored back into the persona space with conversation-turn trace metadata
+
+The optional `memoryPipeline` input is available on both `replyToConversation(...)` and `startConversation(...)`, so app integrations can enable long-term relationship memory without changing their storage layer.
+
+## Release
+
+Tagging `vX.Y.Z` or `X.Y.Z` triggers the Gitea npm release workflow under `.gitea/workflows/npm-release.yml`.
+
+BoxBrain now consumes the published `identitydb` package from npm at version `0.2.0`, and `trustedDependencies` keeps Bun lifecycle scripts enabled for `better-sqlite3` and `esbuild` during clean installs.
+
 ## Current status
 
 The repository now contains the framework core for persona initialization, schedule/status management, conversation orchestration, and a ready-made Grok adapter set. See the implementation plan:

bun.lock

@@ -5,7 +5,7 @@
     "": {
       "name": "boxbrain",
       "dependencies": {
-        "identitydb": "file:../IdentityDB",
+        "identitydb": "0.2.0",
       },
       "devDependencies": {
         "@types/node": "^24.0.0",
@@ -15,6 +15,10 @@
       },
     },
   },
+  "trustedDependencies": [
+    "esbuild",
+    "better-sqlite3",
+  ],
   "packages": {
     "@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.27.7", "", { "os": "aix", "cpu": "ppc64" }, "sha512-EKX3Qwmhz1eMdEJokhALr0YiD0lhQNwDqkPYyPhiSwKrh7/4KRjQc04sZ8db+5DVVnZ1LmbNDI1uAMPEUBnQPg=="],
 
@@ -126,8 +130,6 @@
 
     "@rollup/rollup-win32-x64-msvc": ["@rollup/rollup-win32-x64-msvc@4.60.3", "", { "os": "win32", "cpu": "x64" }, "sha512-hPt/bgL5cE+Qp+/TPHBqptcAgPzgj46mPcg/16zNUmbQk0j+mOEQV/+Lqu8QRtDV3Ek95Q6FeFITpuhl6OTsAA=="],
 
-    "@types/better-sqlite3": ["@types/better-sqlite3@7.6.13", "", { "dependencies": { "@types/node": "*" } }, "sha512-NMv9ASNARoKksWtsq/SHakpYAYnhBrQgGD8zkLYk/jaK8jUGn08CfEdTRgYhMypUQAfzSP8W6gNLe0q19/t4VA=="],
-
     "@types/chai": ["@types/chai@5.2.3", "", { "dependencies": { "@types/deep-eql": "*", "assertion-error": "^2.0.1" } }, "sha512-Mw558oeA9fFbv65/y4mHtXDs9bPnFMZAL/jxdPFUpOHHIXX91mcgEHbS5Lahr+pwZFR8A7GQleRWeI6cGFC2UA=="],
 
     "@types/deep-eql": ["@types/deep-eql@4.0.2", "", {}, "sha512-c9h9dVVMigMPc4bwTvC5dxqtqJZwQPePsWjPlpSOnojbor6pGqdk541lfA7AqFQr5pB1BRdq0juY9db81BwyFw=="],
@@ -136,8 +138,6 @@
 
     "@types/node": ["@types/node@24.12.3", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-8oljBDGun9cIsZRJR6fkihn0TSXJI0UDOOhncYaERq6M0JMDoPLxyscwruJcb4GKS6dvK/d8xebYBg27h/duaQ=="],
 
-    "@types/pg": ["@types/pg@8.20.0", "", { "dependencies": { "@types/node": "*", "pg-protocol": "*", "pg-types": "^2.2.0" } }, "sha512-bEPFOaMAHTEP1EzpvHTbmwR8UsFyHSKsRisLIHVMXnpNefSbGA1bD6CVy+qKjGSqmZqNqBDV2azOBo8TgkcVow=="],
-
     "@vitest/expect": ["@vitest/expect@3.2.4", "", { "dependencies": { "@types/chai": "^5.2.2", "@vitest/spy": "3.2.4", "@vitest/utils": "3.2.4", "chai": "^5.2.0", "tinyrainbow": "^2.0.0" } }, "sha512-Io0yyORnB6sikFlt8QW5K7slY4OjqNX9jmJQ02QDda8lyM6B5oNgVWoSoKPac8/kgnCUzuHQKrSLtu/uOqqrig=="],
 
     "@vitest/mocker": ["@vitest/mocker@3.2.4", "", { "dependencies": { "@vitest/spy": "3.2.4", "estree-walker": "^3.0.3", "magic-string": "^0.30.17" }, "peerDependencies": { "msw": "^2.4.9", "vite": "^5.0.0 || ^6.0.0 || ^7.0.0-0" }, "optionalPeers": ["msw", "vite"] }, "sha512-46ryTE9RZO/rfDd7pEqFl7etuyzekzEhUbTW3BvmeO/BcCMEgq59BKhek3dXDWgAj4oMK6OZi+vRr1wPW6qjEQ=="],
@@ -228,7 +228,7 @@
 
     "iconv-lite": ["iconv-lite@0.7.2", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-im9DjEDQ55s9fL4EYzOAv0yMqmMBSZp6G0VvFyTMPKWxiSBHUj9NW/qqLmXUwXrrM7AvqSlTCfvqRb0cM8yYqw=="],
 
-    "identitydb": ["identitydb@file:../IdentityDB", { "dependencies": { "better-sqlite3": "^12.1.1", "kysely": "^0.28.8", "mysql2": "^3.15.3", "pg": "^8.16.0" }, "devDependencies": { "@types/better-sqlite3": "^7.6.13", "@types/node": "^24.0.0", "@types/pg": "^8.20.0", "tsup": "^8.5.0", "typescript": "^5.8.3", "vitest": "^3.2.4" } }],
+    "identitydb": ["identitydb@0.2.0", "", { "dependencies": { "better-sqlite3": "^12.1.1", "kysely": "^0.28.8", "mysql2": "^3.15.3", "pg": "^8.16.0" } }, "sha512-dXLueo2zx3Lki6R4QJJhMYYGK6jpFecXj8K16AR3Tyq/udH/jw5qAl+s6JPKFPrj24BNl5yAA6CSXS4qFORpQA=="],
 
     "ieee754": ["ieee754@1.2.1", "", {}, "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA=="],
 
@@ -417,7 +417,5 @@
     "wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
 
     "xtend": ["xtend@4.0.2", "", {}, "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ=="],
-
-    "estree-walker/@types/estree": ["@types/estree@1.0.9", "", {}, "sha512-GhdPgy1el4/ImP05X05Uw4cw2/M93BCUmnEvWZNStlCzEKME4Fkk+YpoA5OiHNQmoS7Cafb8Xa3Pya8m1Qrzeg=="],
   }
 }

package.json

@@ -1,6 +1,6 @@
 {
   "name": "boxbrain",
-  "version": "0.1.0",
+  "version": "0.1.1",
   "description": "IdentityDB-backed framework for synthetic human-like personas and DM-style LLM harnesses.",
   "license": "MIT",
   "type": "module",
@@ -16,6 +16,7 @@
   "files": [
     "dist",
     "README.md",
+    "CHANGELOG.md",
     "LICENSE"
   ],
   "engines": {
@@ -37,12 +38,16 @@
     "simulation"
   ],
   "dependencies": {
-    "identitydb": "file:../IdentityDB"
+    "identitydb": "0.2.0"
   },
   "devDependencies": {
     "@types/node": "^24.0.0",
     "tsup": "^8.5.0",
     "typescript": "^5.8.3",
     "vitest": "^3.2.4"
-  }
+  },
+  "trustedDependencies": [
+    "better-sqlite3",
+    "esbuild"
+  ]
 }

src/availability/index.ts

@@ -1,13 +1,13 @@
 import { randomUUID } from 'node:crypto';
 import type { Fact, IdentityDB, JsonValue } from 'identitydb';
-import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace } from './facts';
+import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace } from '../core/facts';
-import { persistFactDrafts } from './memory';
+import { persistFactDrafts } from '../memory';
 import type {
   BoxBrainAvailabilityEntry,
   BoxBrainAvailabilityMode,
   BoxBrainAvailabilitySnapshot,
   BoxBrainAvailabilitySourceType,
-} from './types';
+} from '../core/types';
 
 export interface SetAvailabilityStatusInput {
   spaceName: string;
@@ -35,7 +35,27 @@ const EXPLICIT_SOURCE_PRIORITY: Record<Exclude<BoxBrainAvailabilitySourceType, '
   tool: 3,
 };
 
+export class AvailabilityService {
+  constructor(private readonly db: IdentityDB) {}
+
+  async setStatus(input: SetAvailabilityStatusInput): Promise<BoxBrainAvailabilityEntry> {
+    return setAvailabilityStatusWithDb(this.db, input);
+  }
+
+  async listEntries(input: ListAvailabilityEntriesInput): Promise<BoxBrainAvailabilityEntry[]> {
+    return listAvailabilityEntriesWithDb(this.db, input);
+  }
+
+  async getSnapshot(input: GetAvailabilitySnapshotInput): Promise<BoxBrainAvailabilitySnapshot> {
+    return getAvailabilitySnapshotWithDb(this.db, input);
+  }
+}
+
 export async function setAvailabilityStatus(db: IdentityDB, input: SetAvailabilityStatusInput): Promise<BoxBrainAvailabilityEntry> {
+  return new AvailabilityService(db).setStatus(input);
+}
+
+async function setAvailabilityStatusWithDb(db: IdentityDB, input: SetAvailabilityStatusInput): Promise<BoxBrainAvailabilityEntry> {
   assertAvailabilityMode(input.mode);
   assertChronology(input.effectiveFrom, input.until);
 
@@ -80,6 +100,13 @@ export async function setAvailabilityStatus(db: IdentityDB, input: SetAvailabili
 export async function listAvailabilityEntries(
   db: IdentityDB,
   input: ListAvailabilityEntriesInput,
+): Promise<BoxBrainAvailabilityEntry[]> {
+  return new AvailabilityService(db).listEntries(input);
+}
+
+async function listAvailabilityEntriesWithDb(
+  db: IdentityDB,
+  input: ListAvailabilityEntriesInput,
 ): Promise<BoxBrainAvailabilityEntry[]> {
   const facts = await listFactsInSpace(db, input.spaceName);
   const deletedScheduleEventIds = collectDeletedScheduleEventIds(facts);
@@ -94,6 +121,13 @@ export async function listAvailabilityEntries(
 export async function getAvailabilitySnapshot(
   db: IdentityDB,
   input: GetAvailabilitySnapshotInput,
+): Promise<BoxBrainAvailabilitySnapshot> {
+  return new AvailabilityService(db).getSnapshot(input);
+}
+
+async function getAvailabilitySnapshotWithDb(
+  db: IdentityDB,
+  input: GetAvailabilitySnapshotInput,
 ): Promise<BoxBrainAvailabilitySnapshot> {
   const entries = await listAvailabilityEntries(db, { spaceName: input.spaceName });
   const current = selectAvailabilityAt(entries, input.at) ?? createDefaultOnlineAvailability(input.at);

src/conversation/index.ts

@@ -1,23 +1,44 @@
 import { randomUUID } from 'node:crypto';
 import type { Fact, IdentityDB, JsonValue } from 'identitydb';
-import type { StructuredModelAdapter } from './adapters';
+import type { StructuredModelAdapter } from '../core/adapters';
-import { getAvailabilitySnapshot, setAvailabilityStatus } from './availability';
+import { getAvailabilitySnapshot, setAvailabilityStatus } from '../availability';
-import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace, resolvePersonaProfile, shiftIsoDate } from './facts';
+import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace, resolvePersonaProfile, shiftIsoDate } from '../core/facts';
-import { persistFactDrafts } from './memory';
+import { persistFactDrafts } from '../memory';
-import { createReplyDelay, createTypingDelay } from './timing';
+import { createReplyDelay, createTypingDelay } from '../timing';
 import type {
   BoxBrainAvailabilityMode,
   BoxBrainConversationDirection,
   BoxBrainConversationEntry,
+  BoxBrainFactDomain,
+  BoxBrainFactDraft,
   BoxBrainMemoryReference,
   BoxBrainMessage,
   BoxBrainToolCall,
-} from './types';
+} from '../core/types';
 
 export interface ConversationMemorySelectionResult {
   memoryIds: string[];
 }
 
+export interface ConversationMemoryClassificationResult {
+  shouldRemember: boolean;
+  reason?: string | undefined;
+}
+
+export interface ConversationMemoryExtractedFactDraft extends BoxBrainFactDraft {
+  domain?: BoxBrainFactDomain | undefined;
+}
+
+export interface ConversationMemoryExtractionResult {
+  facts: ConversationMemoryExtractedFactDraft[];
+}
+
+export interface ConversationMemoryPipelineOptions {
+  classifierModel: StructuredModelAdapter;
+  extractorModel: StructuredModelAdapter;
+  source?: string | undefined;
+}
+
 export interface SetAvailabilityToolArguments extends Record<string, JsonValue> {
   mode: BoxBrainAvailabilityMode;
   reason?: string;
@@ -43,6 +64,7 @@ interface BaseConversationInput {
   mandatoryMemoryModel: StructuredModelAdapter;
   contextualMemoryModel: StructuredModelAdapter;
   responseModel: StructuredModelAdapter;
+  memoryPipeline?: ConversationMemoryPipelineOptions | undefined;
   rng?: (() => number) | undefined;
   activeExchangeWindowSeconds?: number | undefined;
   isFirstReplyInExchange?: boolean | undefined;
@@ -70,7 +92,27 @@ export interface ListConversationEntriesInput {
   until?: string | undefined;
 }
 
+export class ConversationService {
+  constructor(private readonly db: IdentityDB) {}
+
+  async reply(input: ReplyToConversationInput): Promise<ConversationTurnResult> {
+    return replyToConversationWithDb(this.db, input);
+  }
+
+  async start(input: StartConversationInput): Promise<ConversationTurnResult> {
+    return startConversationWithDb(this.db, input);
+  }
+
+  async listEntries(input: ListConversationEntriesInput): Promise<BoxBrainConversationEntry[]> {
+    return listConversationEntriesWithDb(this.db, input);
+  }
+}
+
 export async function replyToConversation(db: IdentityDB, input: ReplyToConversationInput): Promise<ConversationTurnResult> {
+  return new ConversationService(db).reply(input);
+}
+
+async function replyToConversationWithDb(db: IdentityDB, input: ReplyToConversationInput): Promise<ConversationTurnResult> {
   const turnId = randomUUID();
   await persistConversationEntry(db, {
     spaceName: input.spaceName,
@@ -93,6 +135,10 @@ export async function replyToConversation(db: IdentityDB, input: ReplyToConversa
 }
 
 export async function startConversation(db: IdentityDB, input: StartConversationInput): Promise<ConversationTurnResult> {
+  return new ConversationService(db).start(input);
+}
+
+async function startConversationWithDb(db: IdentityDB, input: StartConversationInput): Promise<ConversationTurnResult> {
   return generateConversationTurn(db, {
     ...input,
     proactive: true,
@@ -103,6 +149,13 @@ export async function startConversation(db: IdentityDB, input: StartConversation
 export async function listConversationEntries(
   db: IdentityDB,
   input: ListConversationEntriesInput,
+): Promise<BoxBrainConversationEntry[]> {
+  return new ConversationService(db).listEntries(input);
+}
+
+async function listConversationEntriesWithDb(
+  db: IdentityDB,
+  input: ListConversationEntriesInput,
 ): Promise<BoxBrainConversationEntry[]> {
   const facts = await listFactsInSpace(db, input.spaceName);
   return facts
@@ -134,7 +187,14 @@ async function generateConversationTurn(
     spaceName: input.spaceName,
     at: input.currentTime,
   });
+  const persona = await resolvePersonaProfile(db, input.spaceName);
+  const memoryCandidates: ConversationMemoryCandidate[] = [];
+  if (input.inboundMessage) {
+    memoryCandidates.push(createConversationMemoryCandidate(input, 'inbound', input.inboundMessage));
+  }
+
   if (availability.current.mode === 'offline') {
+    await maybePersistConversationMemories(db, input.spaceName, persona.displayName, memoryCandidates, input.memoryPipeline);
     return {
       blocked: true,
       blockedReason: availability.current.reason,
@@ -145,7 +205,6 @@ async function generateConversationTurn(
     };
   }
 
-  const persona = await resolvePersonaProfile(db, input.spaceName);
   const candidateMemories = await buildMemoryCandidates(db, input.spaceName, input.counterpartId, input.counterpartDisplayName, input.currentTime);
   const candidateMap = new Map<string, BoxBrainMemoryReference>(
     candidateMemories.map((memory, index) => [`m${index + 1}`, memory]),
@@ -197,6 +256,7 @@ async function generateConversationTurn(
   });
 
   if (replyDelaySeconds === null) {
+    await maybePersistConversationMemories(db, input.spaceName, persona.displayName, memoryCandidates, input.memoryPipeline);
     return {
       blocked: true,
       blockedReason: availability.current.reason,
@@ -230,8 +290,10 @@ async function generateConversationTurn(
       turnId: input.turnId,
       source: `${input.responseModel.provider}:${input.responseModel.model}`,
     });
+    memoryCandidates.push(createConversationMemoryCandidate(input, 'outbound', message.text));
   }
 
+  await maybePersistConversationMemories(db, input.spaceName, persona.displayName, memoryCandidates, input.memoryPipeline);
   const toolCallsExecuted = await executeToolCalls(db, input.spaceName, input.currentTime, plan.toolCalls ?? []);
 
   return {
@@ -364,6 +426,198 @@ function buildConversationPrompt(
     .join('\n');
 }
 
+interface ConversationMemoryCandidate {
+  turnId: string;
+  direction: BoxBrainConversationDirection;
+  text: string;
+  occurredAt: string;
+  counterpartId: string;
+  counterpartDisplayName?: string | undefined;
+  proactive: boolean;
+}
+
+function createConversationMemoryCandidate(
+  input: BaseConversationInput & { proactive: boolean; turnId: string },
+  direction: BoxBrainConversationDirection,
+  text: string,
+): ConversationMemoryCandidate {
+  return {
+    turnId: input.turnId,
+    direction,
+    text,
+    occurredAt: input.currentTime,
+    counterpartId: input.counterpartId,
+    counterpartDisplayName: input.counterpartDisplayName,
+    proactive: input.proactive,
+  };
+}
+
+async function maybePersistConversationMemories(
+  db: IdentityDB,
+  spaceName: string,
+  personaDisplayName: string,
+  candidates: ConversationMemoryCandidate[],
+  pipeline?: ConversationMemoryPipelineOptions,
+): Promise<void> {
+  if (!pipeline || candidates.length === 0) {
+    return;
+  }
+
+  const existingFacts = await listFactsInSpace(db, spaceName);
+  const dedupeKeys = new Set(
+    existingFacts
+      .map((fact) => buildConversationMemoryDedupKey(getFactDomain(fact), fact.statement))
+      .filter((key): key is string => Boolean(key)),
+  );
+
+  for (const candidate of candidates) {
+    const classification = assertConversationMemoryClassificationResult(
+      await pipeline.classifierModel.generateObject<ConversationMemoryClassificationResult>({
+        prompt: buildConversationMemoryClassificationPrompt(personaDisplayName, candidate),
+        schema: { type: 'object', required: ['shouldRemember'] },
+        metadata: {
+          boxbrainTask: 'persona.conversation.classify_memory',
+          counterpartId: candidate.counterpartId,
+          direction: candidate.direction,
+        },
+      }),
+    );
+
+    if (!classification.shouldRemember) {
+      continue;
+    }
+
+    const extraction = assertConversationMemoryExtractionResult(
+      await pipeline.extractorModel.generateObject<ConversationMemoryExtractionResult>({
+        prompt: buildConversationMemoryExtractionPrompt(personaDisplayName, candidate, classification.reason),
+        schema: { type: 'object', required: ['facts'] },
+        metadata: {
+          boxbrainTask: 'persona.conversation.extract_memory',
+          counterpartId: candidate.counterpartId,
+          direction: candidate.direction,
+        },
+      }),
+    );
+
+    const factsByDomain = new Map<BoxBrainFactDomain, BoxBrainFactDraft[]>();
+    for (const extractedFact of extraction.facts) {
+      const domain = normalizeConversationMemoryDomain(extractedFact.domain, candidate.direction);
+      const dedupeKey = buildConversationMemoryDedupKey(domain, extractedFact.statement);
+      if (dedupeKeys.has(dedupeKey)) {
+        continue;
+      }
+      dedupeKeys.add(dedupeKey);
+
+      const draft = toConversationMemoryDraft(extractedFact, candidate, classification.reason);
+      const existingDrafts = factsByDomain.get(domain) ?? [];
+      existingDrafts.push(draft);
+      factsByDomain.set(domain, existingDrafts);
+    }
+
+    for (const [domain, facts] of Array.from(factsByDomain.entries())) {
+      await persistFactDrafts(db, {
+        spaceName,
+        domain,
+        source: pipeline.source ?? `${pipeline.extractorModel.provider}:${pipeline.extractorModel.model}`,
+        facts,
+      });
+    }
+  }
+}
+
+function buildConversationMemoryClassificationPrompt(
+  personaDisplayName: string,
+  candidate: ConversationMemoryCandidate,
+): string {
+  return [
+    `Decide whether this DM message is worth storing as durable memory for ${personaDisplayName}.`,
+    'Approve only if the message contains a stable preference, biography detail, relationship fact, recurring routine, or other future-useful memory.',
+    'Reject ephemeral small talk, filler, acknowledgements, and one-off chatter.',
+    `Occurred at: ${candidate.occurredAt}`,
+    `Counterpart: ${candidate.counterpartDisplayName ?? candidate.counterpartId}`,
+    `Direction: ${candidate.direction}`,
+    `Proactive: ${candidate.proactive}`,
+    `Message: ${candidate.text}`,
+    'Return { shouldRemember, reason? }.',
+  ].join('\n');
+}
+
+function buildConversationMemoryExtractionPrompt(
+  personaDisplayName: string,
+  candidate: ConversationMemoryCandidate,
+  classifierReason?: string,
+): string {
+  const defaultDomain = normalizeConversationMemoryDomain(undefined, candidate.direction);
+  return [
+    `Extract IdentityDB-ready durable facts from this approved DM message for ${personaDisplayName}.`,
+    'Each fact must have a concise statement and at least one topic.',
+    'Use domain persona.relationship for durable facts about the counterpart or the relationship.',
+    'Use domain persona.biography for durable facts about the persona.',
+    `Default domain for this message if unsure: ${defaultDomain}`,
+    `Occurred at: ${candidate.occurredAt}`,
+    `Counterpart: ${candidate.counterpartDisplayName ?? candidate.counterpartId}`,
+    `Direction: ${candidate.direction}`,
+    `Proactive: ${candidate.proactive}`,
+    classifierReason ? `Approved because: ${classifierReason}` : undefined,
+    `Message: ${candidate.text}`,
+    'Return { facts } where facts is an array of { domain?, statement, summary?, confidence?, topics }.',
+  ]
+    .filter((line): line is string => Boolean(line))
+    .join('\n');
+}
+
+function normalizeConversationMemoryDomain(
+  domain: BoxBrainFactDomain | undefined,
+  direction: BoxBrainConversationDirection,
+): BoxBrainFactDomain {
+  if (typeof domain === 'string' && domain.trim().length > 0) {
+    return domain;
+  }
+
+  return direction === 'inbound' ? 'persona.relationship' : 'persona.biography';
+}
+
+function buildConversationMemoryDedupKey(domain: BoxBrainFactDomain | null, statement: string): string {
+  return `${domain ?? 'unknown'}::${statement.trim().toLowerCase()}`;
+}
+
+function toConversationMemoryDraft(
+  extractedFact: ConversationMemoryExtractedFactDraft,
+  candidate: ConversationMemoryCandidate,
+  classifierReason?: string,
+): BoxBrainFactDraft {
+  const metadata = getJsonObject(extractedFact.metadata);
+  const draft: BoxBrainFactDraft = {
+    statement: extractedFact.statement,
+    topics: extractedFact.topics,
+    metadata: jsonObject({
+      ...(metadata ?? {}),
+      conversationMemory: jsonObject({
+        turnId: candidate.turnId,
+        direction: candidate.direction,
+        occurredAt: candidate.occurredAt,
+        counterpartId: candidate.counterpartId,
+        counterpartDisplayName: candidate.counterpartDisplayName,
+        proactive: candidate.proactive,
+        sourceMessage: candidate.text,
+        classifierReason,
+      }),
+    }),
+  };
+
+  if (extractedFact.summary !== undefined) {
+    draft.summary = extractedFact.summary;
+  }
+  if (extractedFact.source !== undefined) {
+    draft.source = extractedFact.source;
+  }
+  if (extractedFact.confidence !== undefined) {
+    draft.confidence = extractedFact.confidence;
+  }
+
+  return draft;
+}
+
 function renderCandidateMemories(candidateMap: Map<string, BoxBrainMemoryReference>): string {
   return Array.from(candidateMap.entries())
     .map(([id, memory]) => `${id}: [${memory.domain}] ${memory.summary}`)
@@ -378,6 +632,55 @@ function assertConversationMemorySelectionResult(value: ConversationMemorySelect
   return value;
 }
 
+function assertConversationMemoryClassificationResult(
+  value: ConversationMemoryClassificationResult,
+): ConversationMemoryClassificationResult {
+  if (!value || typeof value.shouldRemember !== 'boolean') {
+    throw new Error('Conversation memory classification output must include a shouldRemember boolean.');
+  }
+  if (value.reason !== undefined && typeof value.reason !== 'string') {
+    throw new Error('Conversation memory classification reason must be a string when provided.');
+  }
+
+  return value;
+}
+
+function assertConversationMemoryExtractionResult(
+  value: ConversationMemoryExtractionResult,
+): ConversationMemoryExtractionResult {
+  if (!value || !Array.isArray(value.facts)) {
+    throw new Error('Conversation memory extraction output must include a facts array.');
+  }
+
+  for (const fact of value.facts) {
+    if (!fact || typeof fact.statement !== 'string' || fact.statement.trim().length === 0) {
+      throw new Error('Extracted conversation memory facts must include a non-empty statement.');
+    }
+    if (fact.domain !== undefined && (typeof fact.domain !== 'string' || fact.domain.trim().length === 0)) {
+      throw new Error('Extracted conversation memory fact domains must be non-empty strings when provided.');
+    }
+    if (!Array.isArray(fact.topics) || fact.topics.length === 0) {
+      throw new Error('Extracted conversation memory facts must include at least one topic.');
+    }
+    for (const topic of fact.topics) {
+      if (!topic || typeof topic.name !== 'string' || topic.name.trim().length === 0) {
+        throw new Error('Extracted conversation memory fact topics must include a non-empty name.');
+      }
+    }
+    if (fact.summary !== undefined && typeof fact.summary !== 'string') {
+      throw new Error('Extracted conversation memory fact summaries must be strings when provided.');
+    }
+    if (fact.source !== undefined && typeof fact.source !== 'string') {
+      throw new Error('Extracted conversation memory fact sources must be strings when provided.');
+    }
+    if (fact.confidence !== undefined && typeof fact.confidence !== 'number') {
+      throw new Error('Extracted conversation memory fact confidence values must be numbers when provided.');
+    }
+  }
+
+  return value;
+}
+
 function assertConversationTurnPlan(value: ConversationTurnPlan): ConversationTurnPlan {
   if (!value || (value.mode !== 'reply' && value.mode !== 'refuse')) {
     throw new Error('Conversation turn plan must include a mode of reply or refuse.');

src/index.ts

@@ -1,9 +1,9 @@
-export * from './adapters';
+export * from './core/adapters';
+export * from './core/types';
 export * from './availability';
 export * from './conversation';
-export * from './grok';
 export * from './memory';
 export * from './persona';
+export * from './providers/grok';
 export * from './schedule';
 export * from './timing';
-export * from './types';

src/memory/index.ts

@@ -1,5 +1,5 @@
 import type { AddFactInput, Fact, IdentityDB, JsonValue, TopicCategory } from 'identitydb';
-import type { BoxBrainFactDomain, BoxBrainFactDraft, BoxBrainTopicDraft } from './types';
+import type { BoxBrainFactDomain, BoxBrainFactDraft, BoxBrainTopicDraft } from '../core/types';
 
 export interface PersistFactDraftsInput {
   spaceName: string;
@@ -10,19 +10,27 @@ export interface PersistFactDraftsInput {
 
 const IDENTITYDB_TOPIC_CATEGORIES = new Set<TopicCategory>(['entity', 'concept', 'temporal', 'custom']);
 
+export class FactDraftMemoryStore {
+  constructor(private readonly db: IdentityDB) {}
+
+  async persist(input: PersistFactDraftsInput): Promise<Fact[]> {
+    if (input.facts.length === 0) {
+      return [];
+    }
+
+    await this.db.upsertSpace({ name: input.spaceName });
+
+    const persisted: Fact[] = [];
+    for (const draft of input.facts) {
+      persisted.push(await this.db.addFact(toAddFactInput(draft, input)));
+    }
+
+    return persisted;
+  }
+}
+
 export async function persistFactDrafts(db: IdentityDB, input: PersistFactDraftsInput): Promise<Fact[]> {
-  if (input.facts.length === 0) {
+  return new FactDraftMemoryStore(db).persist(input);
-    return [];
-  }
-
-  await db.upsertSpace({ name: input.spaceName });
-
-  const persisted: Fact[] = [];
-  for (const draft of input.facts) {
-    persisted.push(await db.addFact(toAddFactInput(draft, input)));
-  }
-
-  return persisted;
 }
 
 function toAddFactInput(draft: BoxBrainFactDraft, input: PersistFactDraftsInput): AddFactInput {

src/persona/index.ts

@@ -1,8 +1,8 @@
 import { randomUUID } from 'node:crypto';
 import type { IdentityDB } from 'identitydb';
-import type { ImageModelAdapter, StructuredModelAdapter } from './adapters';
+import type { ImageModelAdapter, StructuredModelAdapter } from '../core/adapters';
-import { persistFactDrafts } from './memory';
+import { persistFactDrafts } from '../memory';
-import type { BoxBrainFactDraft, BoxBrainPersonaProfile } from './types';
+import type { BoxBrainFactDraft, BoxBrainPersonaProfile } from '../core/types';
 
 export interface PersonaRelationshipInput {
   name: string;
@@ -74,7 +74,19 @@ const PERSONA_FACT_EXTRACTION_SCHEMA = {
   },
 } as const;
 
+export class PersonaService {
+  constructor(private readonly db: IdentityDB) {}
+
+  async initialize(input: InitializePersonaInput): Promise<InitializedPersona> {
+    return initializePersonaWithDb(this.db, input);
+  }
+}
+
 export async function initializePersona(db: IdentityDB, input: InitializePersonaInput): Promise<InitializedPersona> {
+  return new PersonaService(db).initialize(input);
+}
+
+async function initializePersonaWithDb(db: IdentityDB, input: InitializePersonaInput): Promise<InitializedPersona> {
   assertPersonaInitializationInput(input);
 
   const id = input.id ?? createPersonaId(input.displayName);

src/providers/grok/index.ts

@@ -5,7 +5,7 @@ import type {
   StructuredModelAdapter,
   TextGenerationRequest,
   TextModelAdapter,
-} from './adapters';
+} from '../../core/adapters';
 
 type GrokFetch = typeof fetch;
 
@@ -32,6 +32,43 @@ export interface GrokAdapterBundleOptions {
 const DEFAULT_BASE_URL = 'https://api.x.ai/v1';
 const GROK_PROVIDER = 'xai-grok';
 
+export class GrokApiClient {
+  private readonly baseUrl: string;
+  private readonly fetchImpl: GrokFetch;
+
+  constructor(private readonly options: Pick<GrokAdapterOptions, 'apiKey' | 'baseUrl' | 'fetch' | 'extraHeaders'>) {
+    this.baseUrl = (options.baseUrl ?? DEFAULT_BASE_URL).replace(/\/$/, '');
+    const fetchImpl = options.fetch ?? globalThis.fetch;
+    if (!fetchImpl) {
+      throw new Error('Grok adapter requires a fetch implementation.');
+    }
+    this.fetchImpl = fetchImpl;
+  }
+
+  async postJson(path: string, body: JsonObject): Promise<JsonObject> {
+    const response = await this.fetchImpl(`${this.baseUrl}${path}`, {
+      method: 'POST',
+      headers: {
+        authorization: `Bearer ${this.options.apiKey}`,
+        'content-type': 'application/json',
+        ...(this.options.extraHeaders ?? {}),
+      },
+      body: JSON.stringify(removeUndefined(body)),
+    });
+
+    const text = await response.text();
+    const parsed = text.length > 0 ? tryParseJson(text) : {};
+    if (!response.ok) {
+      throw new Error(`Grok API request failed (${response.status}): ${text}`);
+    }
+    if (!parsed || typeof parsed !== 'object' || Array.isArray(parsed)) {
+      throw new Error('Grok API response must be a JSON object.');
+    }
+
+    return parsed;
+  }
+}
+
 export function createGrokTextModelAdapter(options: GrokAdapterOptions): TextModelAdapter {
   const runtime = createRuntime(options);
 
@@ -132,39 +169,8 @@ export function createGrokAdapters(options: GrokAdapterBundleOptions): {
   };
 }
 
-function createRuntime(options: Pick<GrokAdapterOptions, 'apiKey' | 'baseUrl' | 'fetch' | 'extraHeaders'>): {
+function createRuntime(options: Pick<GrokAdapterOptions, 'apiKey' | 'baseUrl' | 'fetch' | 'extraHeaders'>): GrokApiClient {
-  postJson: (path: string, body: JsonObject) => Promise<JsonObject>;
+  return new GrokApiClient(options);
-} {
-  const baseUrl = (options.baseUrl ?? DEFAULT_BASE_URL).replace(/\/$/, '');
-  const fetchImpl = options.fetch ?? globalThis.fetch;
-  if (!fetchImpl) {
-    throw new Error('Grok adapter requires a fetch implementation.');
-  }
-
-  return {
-    async postJson(path, body) {
-      const response = await fetchImpl(`${baseUrl}${path}`, {
-        method: 'POST',
-        headers: {
-          authorization: `Bearer ${options.apiKey}`,
-          'content-type': 'application/json',
-          ...(options.extraHeaders ?? {}),
-        },
-        body: JSON.stringify(removeUndefined(body)),
-      });
-
-      const text = await response.text();
-      const parsed = text.length > 0 ? tryParseJson(text) : {};
-      if (!response.ok) {
-        throw new Error(`Grok API request failed (${response.status}): ${text}`);
-      }
-      if (!parsed || typeof parsed !== 'object' || Array.isArray(parsed)) {
-        throw new Error('Grok API response must be a JSON object.');
-      }
-
-      return parsed;
-    },
-  };
 }
 
 function buildMessages(system: string | undefined, prompt: string): Array<{ role: 'system' | 'user'; content: string }> {

src/schedule/index.ts

@@ -1,9 +1,9 @@
 import { randomUUID } from 'node:crypto';
 import type { Fact, IdentityDB, JsonValue } from 'identitydb';
-import type { SpecialDateProvider, StructuredModelAdapter } from './adapters';
+import type { SpecialDateProvider, StructuredModelAdapter } from '../core/adapters';
-import { setAvailabilityStatus } from './availability';
+import { setAvailabilityStatus } from '../availability';
-import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace, uniqueStrings } from './facts';
+import { dateOnly, getFactDomain, getJsonObject, jsonObject, listFactsInSpace, uniqueStrings } from '../core/facts';
-import { persistFactDrafts } from './memory';
+import { persistFactDrafts } from '../memory';
 import type {
   BoxBrainAvailabilityMode,
   BoxBrainAvailabilityEntry,
@@ -11,7 +11,7 @@ import type {
   BoxBrainScheduleEventKind,
   BoxBrainScheduleScope,
   BoxBrainTopicDraft,
-} from './types';
+} from '../core/types';
 
 export interface ScheduleEventDraft {
   title: string;
@@ -60,9 +60,36 @@ export interface SchedulePruneResult {
   deletedEventIds: string[];
 }
 
+export class ScheduleService {
+  constructor(private readonly db: IdentityDB) {}
+
+  async generate(input: GenerateScheduleInput): Promise<{ events: BoxBrainScheduleEvent[]; availabilityEntries: BoxBrainAvailabilityEntry[] }> {
+    return generateScheduleWithDb(this.db, input);
+  }
+
+  async listEvents(input: ListScheduleEventsInput): Promise<BoxBrainScheduleEvent[]> {
+    return listScheduleEventsWithDb(this.db, input);
+  }
+
+  async pruneExpired(input: PruneExpiredScheduleInput): Promise<SchedulePruneResult> {
+    return pruneExpiredScheduleWithDb(this.db, input);
+  }
+
+  async pruneBefore(input: PruneScheduleBeforeInput): Promise<SchedulePruneResult> {
+    return pruneScheduleBeforeWithDb(this.db, input);
+  }
+}
+
 export async function generateSchedule(
   db: IdentityDB,
   input: GenerateScheduleInput,
+): Promise<{ events: BoxBrainScheduleEvent[]; availabilityEntries: BoxBrainAvailabilityEntry[] }> {
+  return new ScheduleService(db).generate(input);
+}
+
+async function generateScheduleWithDb(
+  db: IdentityDB,
+  input: GenerateScheduleInput,
 ): Promise<{ events: BoxBrainScheduleEvent[]; availabilityEntries: BoxBrainAvailabilityEntry[] }> {
   await ensurePersonaSpace(db, input.spaceName, input.displayName);
 
@@ -134,6 +161,10 @@ export async function generateSchedule(
 }
 
 export async function listScheduleEvents(db: IdentityDB, input: ListScheduleEventsInput): Promise<BoxBrainScheduleEvent[]> {
+  return new ScheduleService(db).listEvents(input);
+}
+
+async function listScheduleEventsWithDb(db: IdentityDB, input: ListScheduleEventsInput): Promise<BoxBrainScheduleEvent[]> {
   const facts = await listFactsInSpace(db, input.spaceName);
   const deletedIds = new Set(
     facts
@@ -156,6 +187,10 @@ export async function listScheduleEvents(db: IdentityDB, input: ListScheduleEven
 }
 
 export async function pruneExpiredSchedule(db: IdentityDB, input: PruneExpiredScheduleInput): Promise<SchedulePruneResult> {
+  return new ScheduleService(db).pruneExpired(input);
+}
+
+async function pruneExpiredScheduleWithDb(db: IdentityDB, input: PruneExpiredScheduleInput): Promise<SchedulePruneResult> {
   const graceMs = (input.graceSeconds ?? 0) * 1000;
   const cutoffMs = Date.parse(input.referenceTime) - graceMs;
   const events = await listScheduleEvents(db, { spaceName: input.spaceName });
@@ -166,6 +201,10 @@ export async function pruneExpiredSchedule(db: IdentityDB, input: PruneExpiredSc
 }
 
 export async function pruneScheduleBefore(db: IdentityDB, input: PruneScheduleBeforeInput): Promise<SchedulePruneResult> {
+  return new ScheduleService(db).pruneBefore(input);
+}
+
+async function pruneScheduleBeforeWithDb(db: IdentityDB, input: PruneScheduleBeforeInput): Promise<SchedulePruneResult> {
   const cutoffMs = Date.parse(input.before);
   const events = await listScheduleEvents(db, { spaceName: input.spaceName });
   const toDelete = events.filter((event) => Date.parse(event.startAt) < cutoffMs);

src/timing.ts

@@ -1,78 +0,0 @@
-import type { BoxBrainAvailability } from './types';
-
-export type RandomSource = () => number;
-
-export interface TypingDelayOptions {
-  rng?: RandomSource | undefined;
-  minSecondsPerCharacter?: number | undefined;
-  maxSecondsPerCharacter?: number | undefined;
-}
-
-export interface ReplyDelayOptions {
-  isFirstReplyInExchange: boolean;
-  rng?: RandomSource | undefined;
-  onlineMinSeconds?: number | undefined;
-  onlineMaxSeconds?: number | undefined;
-  dndReplyProbability?: number | undefined;
-  dndMinSeconds?: number | undefined;
-  dndMaxSeconds?: number | undefined;
-}
-
-export const ONLINE_AVAILABILITY: BoxBrainAvailability = { mode: 'online' };
-export const DND_AVAILABILITY: BoxBrainAvailability = { mode: 'do_not_disturb' };
-export const OFFLINE_AVAILABILITY: BoxBrainAvailability = { mode: 'offline' };
-
-export function createTypingDelay(message: string, options: TypingDelayOptions = {}): number {
-  if (message.length === 0) {
-    return 0;
-  }
-
-  const rng = options.rng ?? Math.random;
-  const min = options.minSecondsPerCharacter ?? 0.05;
-  const max = options.maxSecondsPerCharacter ?? 0.08;
-  const secondsPerCharacter = interpolate(min, max, clampUnit(rng()));
-
-  return roundSeconds(message.length * secondsPerCharacter);
-}
-
-export function createReplyDelay(
-  availability: BoxBrainAvailability,
-  options: ReplyDelayOptions,
-): number | null {
-  if (availability.mode === 'offline') {
-    return null;
-  }
-
-  if (!options.isFirstReplyInExchange) {
-    return 0;
-  }
-
-  const rng = options.rng ?? Math.random;
-
-  if (availability.mode === 'do_not_disturb') {
-    const probability = options.dndReplyProbability ?? 0.2;
-    if (clampUnit(rng()) > probability) {
-      return null;
-    }
-
-    return roundSeconds(interpolate(options.dndMinSeconds ?? 60, options.dndMaxSeconds ?? 600, clampUnit(rng())));
-  }
-
-  return roundSeconds(interpolate(options.onlineMinSeconds ?? 1, options.onlineMaxSeconds ?? 12, clampUnit(rng())));
-}
-
-function interpolate(min: number, max: number, ratio: number): number {
-  return min + (max - min) * ratio;
-}
-
-function clampUnit(value: number): number {
-  if (Number.isNaN(value)) {
-    return 0;
-  }
-
-  return Math.min(1, Math.max(0, value));
-}
-
-function roundSeconds(value: number): number {
-  return Math.round(value * 1_000_000) / 1_000_000;
-}

src/timing/index.ts

@@ -0,0 +1,87 @@
+import type { BoxBrainAvailability } from '../core/types';
+
+export type RandomSource = () => number;
+
+export interface TypingDelayOptions {
+  rng?: RandomSource | undefined;
+  minSecondsPerCharacter?: number | undefined;
+  maxSecondsPerCharacter?: number | undefined;
+}
+
+export interface ReplyDelayOptions {
+  isFirstReplyInExchange: boolean;
+  rng?: RandomSource | undefined;
+  onlineMinSeconds?: number | undefined;
+  onlineMaxSeconds?: number | undefined;
+  dndReplyProbability?: number | undefined;
+  dndMinSeconds?: number | undefined;
+  dndMaxSeconds?: number | undefined;
+}
+
+export const ONLINE_AVAILABILITY: BoxBrainAvailability = { mode: 'online' };
+export const DND_AVAILABILITY: BoxBrainAvailability = { mode: 'do_not_disturb' };
+export const OFFLINE_AVAILABILITY: BoxBrainAvailability = { mode: 'offline' };
+
+export class TimingProfile {
+  createTypingDelay(message: string, options: TypingDelayOptions = {}): number {
+    if (message.length === 0) {
+      return 0;
+    }
+
+    const rng = options.rng ?? Math.random;
+    const min = options.minSecondsPerCharacter ?? 0.05;
+    const max = options.maxSecondsPerCharacter ?? 0.08;
+    const secondsPerCharacter = interpolate(min, max, clampUnit(rng()));
+
+    return roundSeconds(message.length * secondsPerCharacter);
+  }
+
+  createReplyDelay(availability: BoxBrainAvailability, options: ReplyDelayOptions): number | null {
+    if (availability.mode === 'offline') {
+      return null;
+    }
+
+    if (!options.isFirstReplyInExchange) {
+      return 0;
+    }
+
+    const rng = options.rng ?? Math.random;
+
+    if (availability.mode === 'do_not_disturb') {
+      const probability = options.dndReplyProbability ?? 0.2;
+      if (clampUnit(rng()) > probability) {
+        return null;
+      }
+
+      return roundSeconds(interpolate(options.dndMinSeconds ?? 60, options.dndMaxSeconds ?? 600, clampUnit(rng())));
+    }
+
+    return roundSeconds(interpolate(options.onlineMinSeconds ?? 1, options.onlineMaxSeconds ?? 12, clampUnit(rng())));
+  }
+}
+
+const DEFAULT_TIMING_PROFILE = new TimingProfile();
+
+export function createTypingDelay(message: string, options: TypingDelayOptions = {}): number {
+  return DEFAULT_TIMING_PROFILE.createTypingDelay(message, options);
+}
+
+export function createReplyDelay(availability: BoxBrainAvailability, options: ReplyDelayOptions): number | null {
+  return DEFAULT_TIMING_PROFILE.createReplyDelay(availability, options);
+}
+
+function interpolate(min: number, max: number, ratio: number): number {
+  return min + (max - min) * ratio;
+}
+
+function clampUnit(value: number): number {
+  if (Number.isNaN(value)) {
+    return 0;
+  }
+
+  return Math.min(1, Math.max(0, value));
+}
+
+function roundSeconds(value: number): number {
+  return Math.round(value * 1_000_000) / 1_000_000;
+}

tests/conversation.test.ts

@@ -1,4 +1,5 @@
 import { afterEach, describe, expect, it } from 'vitest';
+import type { Fact } from 'identitydb';
 import {
   generateSchedule,
   getAvailabilitySnapshot,
@@ -6,6 +7,8 @@ import {
   replyToConversation,
   setAvailabilityStatus,
   startConversation,
+  type ConversationMemoryClassificationResult,
+  type ConversationMemoryExtractionResult,
   type ConversationMemorySelectionResult,
   type ConversationTurnPlan,
   type ScheduleGenerationResult,
@@ -118,6 +121,162 @@ describe('conversation APIs', () => {
     expect(history[0]?.proactive).toBe(true);
   });
 
+  it('classifies inbound and outbound conversation messages, extracts only approved memories, and stores trace metadata', async () => {
+    const db = await createDb();
+    await seedPersonaMemory(db);
+    const classifierPrompts: string[] = [];
+    const extractorPrompts: string[] = [];
+
+    await replyToConversation(db, {
+      spaceName: 'persona:minji',
+      counterpartId: 'user:shinwoo',
+      counterpartDisplayName: 'Shinwoo',
+      message: '이번주말에 등산 가고 싶어',
+      currentTime: '2026-05-12T12:00:00.000Z',
+      mandatoryMemoryModel: createSelectionModel(['m1']),
+      contextualMemoryModel: createSelectionModel([]),
+      responseModel: createResponseModel({
+        mode: 'reply',
+        messages: ['좋다 나도 산 좋아해', '저녁엔가족이랑먹어'],
+      }),
+      rng: () => 0,
+      memoryPipeline: {
+        classifierModel: createMemoryClassifier([
+          { shouldRemember: true, reason: 'stores a durable user preference' },
+          { shouldRemember: false, reason: 'small talk only' },
+          { shouldRemember: true, reason: 'reveals a stable persona routine' },
+        ], classifierPrompts),
+        extractorModel: createMemoryExtractor([
+          {
+            facts: [
+              {
+                domain: 'persona.relationship',
+                statement: 'Shinwoo wants to go hiking on weekends.',
+                topics: [{ name: 'Shinwoo' }, { name: 'hiking' }],
+              },
+            ],
+          },
+          {
+            facts: [
+              {
+                domain: 'persona.biography',
+                statement: 'Minji often has family dinner in the evening.',
+                topics: [{ name: 'Minji' }, { name: 'family dinner' }],
+              },
+            ],
+          },
+        ], extractorPrompts),
+      },
+    });
+
+    expect(classifierPrompts).toHaveLength(3);
+    expect(classifierPrompts[0]).toContain('Direction: inbound');
+    expect(classifierPrompts[0]).toContain('이번주말에 등산 가고 싶어');
+    expect(classifierPrompts[1]).toContain('Direction: outbound');
+    expect(extractorPrompts).toHaveLength(2);
+    expect(extractorPrompts[0]).toContain('stores a durable user preference');
+    expect(extractorPrompts[1]).toContain('reveals a stable persona routine');
+
+    const facts = await listFactsForSpace(db, 'persona:minji');
+    const hikingFact = facts.find((fact) => fact.statement === 'Shinwoo wants to go hiking on weekends.');
+    const dinnerFact = facts.find((fact) => fact.statement === 'Minji often has family dinner in the evening.');
+
+    expect(hikingFact?.metadata).toMatchObject({
+      boxbrain: {
+        domain: 'persona.relationship',
+      },
+      conversationMemory: {
+        turnId: expect.any(String),
+        direction: 'inbound',
+        counterpartId: 'user:shinwoo',
+        counterpartDisplayName: 'Shinwoo',
+        occurredAt: '2026-05-12T12:00:00.000Z',
+        proactive: false,
+        sourceMessage: '이번주말에 등산 가고 싶어',
+        classifierReason: 'stores a durable user preference',
+      },
+    });
+    expect(dinnerFact?.metadata).toMatchObject({
+      boxbrain: {
+        domain: 'persona.biography',
+      },
+      conversationMemory: {
+        turnId: expect.any(String),
+        direction: 'outbound',
+        counterpartId: 'user:shinwoo',
+        counterpartDisplayName: 'Shinwoo',
+        occurredAt: '2026-05-12T12:00:00.000Z',
+        proactive: false,
+        sourceMessage: '저녁엔가족이랑먹어',
+        classifierReason: 'reveals a stable persona routine',
+      },
+    });
+  });
+
+  it('deduplicates repeated extracted conversation memories by statement and domain', async () => {
+    const db = await createDb();
+    await seedPersonaMemory(db);
+
+    await replyToConversation(db, {
+      spaceName: 'persona:minji',
+      counterpartId: 'user:shinwoo',
+      counterpartDisplayName: 'Shinwoo',
+      message: '나는 민트초코 좋아해',
+      currentTime: '2026-05-12T12:00:00.000Z',
+      mandatoryMemoryModel: createSelectionModel(['m1']),
+      contextualMemoryModel: createSelectionModel([]),
+      responseModel: createResponseModel({ mode: 'reply', messages: ['오 진짜?'] }),
+      memoryPipeline: {
+        classifierModel: createMemoryClassifier([
+          { shouldRemember: true, reason: 'stable preference' },
+          { shouldRemember: false, reason: 'reply is not worth storing' },
+        ]),
+        extractorModel: createMemoryExtractor([
+          {
+            facts: [
+              {
+                domain: 'persona.relationship',
+                statement: 'Shinwoo likes mint chocolate.',
+                topics: [{ name: 'Shinwoo' }, { name: 'mint chocolate' }],
+              },
+            ],
+          },
+        ]),
+      },
+    });
+
+    await replyToConversation(db, {
+      spaceName: 'persona:minji',
+      counterpartId: 'user:shinwoo',
+      counterpartDisplayName: 'Shinwoo',
+      message: '나 아직도 민트초코 좋아해',
+      currentTime: '2026-05-12T13:00:00.000Z',
+      mandatoryMemoryModel: createSelectionModel(['m1']),
+      contextualMemoryModel: createSelectionModel([]),
+      responseModel: createResponseModel({ mode: 'reply', messages: ['기억하고있어'] }),
+      memoryPipeline: {
+        classifierModel: createMemoryClassifier([
+          { shouldRemember: true, reason: 'same stable preference' },
+          { shouldRemember: false, reason: 'reply is not worth storing' },
+        ]),
+        extractorModel: createMemoryExtractor([
+          {
+            facts: [
+              {
+                domain: 'persona.relationship',
+                statement: 'Shinwoo likes mint chocolate.',
+                topics: [{ name: 'Shinwoo' }, { name: 'mint chocolate' }],
+              },
+            ],
+          },
+        ]),
+      },
+    });
+
+    const facts = await listFactsForSpace(db, 'persona:minji');
+    expect(facts.filter((fact) => fact.statement === 'Shinwoo likes mint chocolate.')).toHaveLength(1);
+  });
+
   it('executes availability tool calls after farewell-style refusal messages', async () => {
     const db = await createDb();
     await seedPersonaMemory(db);
@@ -208,6 +367,55 @@ function createResponseModel(plan: ConversationTurnPlan, prompts: string[] = [])
   };
 }
 
+function createMemoryClassifier(
+  results: ConversationMemoryClassificationResult[],
+  prompts: string[] = [],
+): StructuredModelAdapter {
+  const queue = [...results];
+  return {
+    provider: 'fake-structured',
+    model: 'memory-classifier',
+    async generateObject<TOutput>(request: { prompt: string }): Promise<TOutput> {
+      prompts.push(request.prompt);
+      const result = queue.shift();
+      if (!result) {
+        throw new Error('No queued conversation memory classification result.');
+      }
+      return result as TOutput;
+    },
+  };
+}
+
+function createMemoryExtractor(
+  results: ConversationMemoryExtractionResult[],
+  prompts: string[] = [],
+): StructuredModelAdapter {
+  const queue = [...results];
+  return {
+    provider: 'fake-structured',
+    model: 'memory-extractor',
+    async generateObject<TOutput>(request: { prompt: string }): Promise<TOutput> {
+      prompts.push(request.prompt);
+      const result = queue.shift();
+      if (!result) {
+        throw new Error('No queued conversation memory extraction result.');
+      }
+      return result as TOutput;
+    },
+  };
+}
+
+async function listFactsForSpace(db: Awaited<ReturnType<typeof createDb>>, spaceName: string): Promise<Fact[]> {
+  const topics = await db.listTopics({ includeFacts: true, spaceName });
+  const byId = new Map<string, Fact>();
+  for (const topic of topics) {
+    for (const fact of topic.facts) {
+      byId.set(fact.id, fact);
+    }
+  }
+  return Array.from(byId.values());
+}
+
 async function seedPersonaMemory(db: Awaited<ReturnType<typeof createDb>>) {
   await db.upsertSpace({
     name: 'persona:minji',

tests/public-api.test.ts

@@ -10,6 +10,13 @@ import {
   type SpecialDateProvider,
   type TextModelAdapter,
 } from '../src';
+import { AvailabilityService } from '../src/availability';
+import { ConversationService } from '../src/conversation';
+import { FactDraftMemoryStore } from '../src/memory';
+import { PersonaService } from '../src/persona';
+import { GrokApiClient } from '../src/providers/grok';
+import { ScheduleService } from '../src/schedule';
+import { TimingProfile } from '../src/timing';
 
 describe('public API', () => {
   it('exports timing helpers and runtime availability constants', () => {
@@ -39,7 +46,7 @@ describe('public API', () => {
     expect(fact.topics.map((topic) => topic.name)).toEqual(['Mina', 'quiet cafés']);
   });
 
-  it('exports schedule, conversation, Grok, and external special-date adapter contracts', () => {
+  it('exports grouped service classes and provider runtime helpers', () => {
     const specialDateProvider: SpecialDateProvider = {
       async listSpecialDates() {
         return [{ date: '2026-05-08', title: 'Parents Day' }];
@@ -50,5 +57,13 @@ describe('public API', () => {
     expect(typeof replyToConversation).toBe('function');
     expect(typeof createGrokAdapters).toBe('function');
     expect(specialDateProvider.listSpecialDates).toBeTypeOf('function');
+
+    expect(AvailabilityService).toBeTypeOf('function');
+    expect(ConversationService).toBeTypeOf('function');
+    expect(FactDraftMemoryStore).toBeTypeOf('function');
+    expect(PersonaService).toBeTypeOf('function');
+    expect(GrokApiClient).toBeTypeOf('function');
+    expect(ScheduleService).toBeTypeOf('function');
+    expect(TimingProfile).toBeTypeOf('function');
   });
 });

tests/release-config.test.ts

@@ -0,0 +1,29 @@
+import { readFileSync } from 'node:fs';
+import { join } from 'node:path';
+import { describe, expect, it } from 'vitest';
+
+describe('release config', () => {
+  it('depends on the published identitydb 0.2.0 npm package', () => {
+    const packageJson = JSON.parse(
+      readFileSync(join(process.cwd(), 'package.json'), 'utf8'),
+    ) as {
+      dependencies?: Record<string, string>;
+      trustedDependencies?: string[];
+    };
+
+    expect(packageJson.dependencies?.identitydb).toBe('0.2.0');
+    expect(packageJson.trustedDependencies).toEqual(
+      expect.arrayContaining(['better-sqlite3', 'esbuild']),
+    );
+  });
+
+  it('publishes without cloning a sibling IdentityDB repository first', () => {
+    const workflow = readFileSync(
+      join(process.cwd(), '.gitea/workflows/npm-release.yml'),
+      'utf8',
+    );
+
+    expect(workflow).not.toContain('Clone IdentityDB dependency');
+    expect(workflow).not.toContain('IDENTITYDB_URL');
+  });
+});