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Author SHA1 Message Date
Jon Saad-FalconandClaude Opus 4.6 f75afefcfb Add MkDocs Material documentation site with 40 pages and auto-generated API reference 
Sets up a complete documentation website with 7 navigable sections (Home, Getting
Started, User Guide, Architecture, API Reference, Deployment, Development), light/dark
mode, search, code copy, and Mermaid diagram support. API reference pages use
mkdocstrings to auto-generate docs from source docstrings. GitHub Actions workflow
deploys to GitHub Pages on push to main.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-21 06:09:36 +00:00
Jon Saad-FalconandClaude Opus 4.6 990d7d8a79 Expand test suite to 1031 tests: new agents, tools, MCP layer, model catalog 
Add ReAct and OpenHands agents, WebSearch and CodeInterpreter tools,
full MCP protocol layer (server/client/transport), Gemini cloud engine
support, 12 new model specs (4 local MoE + 8 cloud), trace system,
and comprehensive test coverage across all dimensions (hardware, engine,
memory, agents, tools, MCP, integration).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-21 04:59:11 +00:00
Jon Saad-FalconandDevin 2faf58f3f7 Fix mock patch targets + add tool fallback for vLLM 
- Use importlib.import_module + patch.object to fix 19 broken tests
  (module shadowing issue in cli/__init__.py)
- Add 400 retry without tools in _openai_compat.py for vLLM servers
  without --enable-auto-tool-choice
- Update NOTES.md with session 2 findings

🤖 Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <noreply@cognition.ai>
 2026-02-17 04:37:39 +00:00
Jon Saad-FalconandClaude Opus 4.6 301e9cd2d4 Implement OpenJarvis v1.0 — all five pillars, SDK, benchmarks, Docker 
Complete implementation across six development phases (v0.1 through v1.0):

- Core: Registry system, config, event bus, types (Phase 0)
- Intelligence + Inference: Model routing, Ollama/vLLM/llama.cpp/Cloud engines (Phase 1)
- Memory: SQLite/FAISS/ColBERT/BM25/Hybrid backends, document ingest, context injection (Phase 2)
- Agents: Simple/Orchestrator/Custom/OpenClaw agents, tool system (Phase 3)
- Learning: HeuristicRouter, reward functions, GRPO stub, telemetry aggregation (Phase 4)
- SDK: Jarvis class, OpenClaw protocol/transport, benchmarks, Docker deployment (Phase 5)

520 tests passing, 8 skipped (optional deps). Ruff lint clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-17 00:52:48 +00:00
Jon Saad-FalconandClaude Opus 4.6 f1dfeb2567 Initial commit: project vision, roadmap, and README 
Establishes OpenJarvis as a modular AI assistant backend with five
composable pillars (Intelligence, Memory, Agents, Inference, Learning).
Documents the architecture, supported backends, and phased development plan.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-15 00:23:58 +00:00