# AtoCore Personal context engine that enriches LLM interactions with durable memory, structured context, and project knowledge. ## Quick Start ```bash pip install -e . uvicorn atocore.main:app --port 8100 ``` ## Usage ```bash # Ingest markdown files curl -X POST http://localhost:8100/ingest \ -H "Content-Type: application/json" \ -d '{"path": "/path/to/notes"}' # Build enriched context for a prompt curl -X POST http://localhost:8100/context/build \ -H "Content-Type: application/json" \ -d '{"prompt": "What is the project status?", "project": "myproject"}' # CLI ingestion python scripts/ingest_folder.py --path /path/to/notes # Live operator client python scripts/atocore_client.py health python scripts/atocore_client.py audit-query "gigabit" 5 ``` ## API Endpoints | Method | Path | Description | |--------|------|-------------| | POST | /ingest | Ingest markdown file or folder | | POST | /query | Retrieve relevant chunks | | POST | /context/build | Build full context pack | | POST | /interactions | Capture prompt/response interactions | | GET/POST | /memory | List/create durable memories | | GET/POST | /entities | Engineering entity graph surface | | GET | /admin/dashboard | Operator dashboard | | GET | /health | Health check | | GET | /debug/context | Inspect last context pack | ## API versioning The public contract for external clients (AKC, OpenClaw, future tools) is served under a `/v1` prefix. Every public endpoint is available at both its unversioned path and under `/v1` — e.g. `POST /entities` and `POST /v1/entities` route to the same handler. Rules: - New public endpoints land at the latest version prefix. - Backwards-compatible additions stay on the current version. - Breaking schema changes to an existing endpoint bump the prefix (`/v2/...`) and leave the prior version in place until clients migrate. - Unversioned paths are retained for internal callers (hooks, scripts, the wiki/admin UI). Do not rely on them from external clients — use `/v1`. The authoritative list of versioned paths is in `src/atocore/main.py` (`_V1_PUBLIC_PATHS`). `GET /openapi.json` reflects both the versioned and unversioned forms. ## Architecture ```text FastAPI (port 8100) |- Ingestion: markdown -> parse -> chunk -> embed -> store |- Retrieval: query -> embed -> vector search -> rank |- Context Builder: project state -> memories -> entities -> retrieval -> budget |- Reflection: capture -> reinforce -> extract -> triage -> promote/expire |- Engineering: typed entities, relationships, conflicts, wiki/mirror |- SQLite (documents, chunks, memories, projects, interactions, entities) '- ChromaDB (vector embeddings) ``` ## Configuration Set via environment variables (prefix `ATOCORE_`): | Variable | Default | Description | |----------|---------|-------------| | ATOCORE_DEBUG | false | Enable debug logging | | ATOCORE_PORT | 8100 | Server port | | ATOCORE_CHUNK_MAX_SIZE | 800 | Max chunk size (chars) | | ATOCORE_CONTEXT_BUDGET | 3000 | Context pack budget (chars) | | ATOCORE_EMBEDDING_MODEL | paraphrase-multilingual-MiniLM-L12-v2 | Embedding model | | ATOCORE_RANK_PROJECT_MATCH_BOOST | 2.0 | Soft boost for chunks whose metadata matches the project hint | | ATOCORE_RANK_PROJECT_SCOPE_FILTER | true | Filter project-hinted retrieval away from other registered project corpora | | ATOCORE_RANK_PROJECT_SCOPE_CANDIDATE_MULTIPLIER | 4 | Widen candidate pull before project-scope filtering | | ATOCORE_RANK_QUERY_TOKEN_STEP | 0.08 | Per-token boost when query terms appear in high-signal metadata | | ATOCORE_RANK_QUERY_TOKEN_CAP | 1.32 | Maximum query-token boost multiplier | | ATOCORE_RANK_PATH_HIGH_SIGNAL_BOOST | 1.18 | Boost current decision/status/requirements-like paths | | ATOCORE_RANK_PATH_LOW_SIGNAL_PENALTY | 0.72 | Down-rank archive/history-like paths | `ATOCORE_RANK_PROJECT_SCOPE_FILTER` gates the hard cross-project filter only. `ATOCORE_RANK_PROJECT_MATCH_BOOST` remains the separate soft-ranking knob. ## Testing ```bash pip install -e ".[dev]" pytest ``` ## Operations - `scripts/atocore_client.py` provides a live API client for project refresh, project-state inspection, and retrieval-quality audits. - `scripts/retrieval_eval.py` runs the live retrieval/context harness, separates blocking failures from known content gaps, and stamps JSON output with target/build metadata. - `scripts/live_status.py` renders a compact read-only status report from `/health`, `/stats`, `/projects`, and `/admin/dashboard`; set `ATOCORE_AUTH_TOKEN` or `--auth-token` when those endpoints are gated. - `scripts/backfill_chunk_project_ids.py` dry-runs or applies explicit `project_id` metadata backfills for SQLite chunks and Chroma vectors; `--apply` requires a confirmed Chroma snapshot. - `docs/operations.md` captures the current operational priority order: retrieval quality, Wave 2 trusted-operational ingestion, AtoDrive scoping, and restore validation. - `DEV-LEDGER.md` is the fast-moving source of operational truth during active development; copy claims into docs only after checking the live service. ## Architecture Notes Implementation-facing architecture notes live under `docs/architecture/`. Current additions: - `docs/architecture/engineering-knowledge-hybrid-architecture.md` — 5-layer hybrid model - `docs/architecture/engineering-ontology-v1.md` — V1 object and relationship inventory - `docs/architecture/engineering-query-catalog.md` — 20 v1-required queries - `docs/architecture/memory-vs-entities.md` — canonical home split - `docs/architecture/promotion-rules.md` — Layer 0 to Layer 2 pipeline - `docs/architecture/conflict-model.md` — contradictory facts detection and resolution