42 lines
1.8 KiB
Markdown
42 lines
1.8 KiB
Markdown
# BoxBrain
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BoxBrain is an IdentityDB-backed TypeScript framework for creating synthetic personas that behave like human-like DM contacts.
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The project is framework-first rather than product-first. The current core library provides:
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- provider-agnostic text, structured-output, image, conversation-memory, and special-date adapter contracts
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- ready-made xAI Grok text, structured-output, and image adapters
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- one IdentityDB memory space per persona
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- persona initialization from personality, history, values, preferences, and relationships
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- LLM-generated biography ingestion into IdentityDB fact drafts
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- optional profile image generation through an image adapter
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- schedule generation for day/week/month scopes with optional external special-date context
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- schedule persistence, listing, and pruning APIs
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- availability state persistence with schedule/manual/tool overrides
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- availability snapshots with current + next transition calculation
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- DM-style conversation orchestration for inbound replies and proactive openings
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- delegated mandatory/contextual memory retrieval pipelines for conversation turns
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- human-like first-reply delay and typing delay utilities
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- farewell-style refusal flows that can trigger availability-changing tool calls
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Still planned:
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- HTTP/RPC wrappers around the core library APIs
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- ready-made provider adapter packages for additional AI vendors
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- production-focused persistence/runtime integrations beyond the in-process core library
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## Development
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```bash
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bun install
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bun run test
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bun run check
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bun run build
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```
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## Current status
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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:
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- `docs/plans/2026-05-11-boxbrain-foundation.md`
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