Anto01
9c91d778d9
Closes the asymmetry the user surfaced: before this, Claude Code captured every turn (Stop hook) but retrieval only happened when Claude chose to call atocore_context (opt-in MCP tool). OpenClaw had both sides covered after 7I; Claude Code did not. Now symmetric. Every Claude Code prompt is auto-sent to /context/build and the returned pack is prepended via hookSpecificOutput.additionalContext — same as what OpenClaw's before_agent_start hook now does. - deploy/hooks/inject_context.py — UserPromptSubmit hook. Fail-open (always exit 0). Skips short/XML prompts. 5s timeout. Project inference mirrors capture_stop.py cwd→slug table. Kill switch: ATOCORE_CONTEXT_DISABLED=1. - ~/.claude/settings.json registered the hook (local config, not committed; copy-paste snippet in docs/capture-surfaces.md). - Removed /wiki/capture from topnav. Endpoint still exists but the page is now labeled "fallback only" with a warning banner. The sanctioned surfaces are Claude Code + OpenClaw; manual paste is explicitly not the design. - docs/capture-surfaces.md — scope statement: two surfaces, nothing else. Anthropic API polling explicitly prohibited. Tests: +8 for inject_context.py (exit 0 on all failure modes, kill switch, short prompt filter, XML filter, bad stdin, mock-server success shape, project inference from cwd). Updated 2 wiki tests for the topnav change. 450 → 459. Verified live with real AtoCore: injected 2979 chars of atocore project context on a cwd-matched prompt. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
AtoCore
Personal context engine that enriches LLM interactions with durable memory, structured context, and project knowledge.
Quick Start
pip install -e .
uvicorn src.atocore.main:app --port 8100
Usage
# 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 |
| GET | /health | Health check |
| GET | /debug/context | Inspect last context pack |
Architecture
FastAPI (port 8100)
|- Ingestion: markdown -> parse -> chunk -> embed -> store
|- Retrieval: query -> embed -> vector search -> rank
|- Context Builder: retrieve -> boost -> budget -> format
|- SQLite (documents, chunks, memories, projects, interactions)
'- 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 |
Testing
pip install -e ".[dev]"
pytest
Operations
scripts/atocore_client.pyprovides a live API client for project refresh, project-state inspection, and retrieval-quality audits.docs/operations.mdcaptures the current operational priority order: retrieval quality, Wave 2 trusted-operational ingestion, AtoDrive scoping, and restore validation.
Architecture Notes
Implementation-facing architecture notes live under docs/architecture/.
Current additions:
docs/architecture/engineering-knowledge-hybrid-architecture.md— 5-layer hybrid modeldocs/architecture/engineering-ontology-v1.md— V1 object and relationship inventorydocs/architecture/engineering-query-catalog.md— 20 v1-required queriesdocs/architecture/memory-vs-entities.md— canonical home splitdocs/architecture/promotion-rules.md— Layer 0 to Layer 2 pipelinedocs/architecture/conflict-model.md— contradictory facts detection and resolution