Commit Graph
9 Commits
Author SHA1 Message Date
Jon Saad-FalconandClaude Opus 4.6 a4c4081ff4 Add desktop distribution pipeline: rolling releases, auto-updates, code signing
- Rewrite .github/workflows/desktop.yml: 2-job pipeline (validate + build-and-release)
  with rolling desktop-latest pre-release on push to main and stable desktop-v* releases
- Add UpdateChecker component: checks for updates on startup + every 30 min,
  background download with progress bar, one-click relaunch
- Configure Tauri updater: endpoints pointing to desktop-latest release, pubkey placeholder
- Add tauri-plugin-process for relaunch support (Cargo.toml, lib.rs, package.json)
- Add macOS Entitlements.plist for notarization (network + file access, no sandbox)
- Add scripts/bump-desktop-version.sh for atomic version bumps across 3 config files
- Add desktop/README.md with dev setup, auto-update architecture, signing docs
- Update .gitignore for desktop/node_modules, dist, target
- Configure macOS minimumSystemVersion, Windows timestampUrl
- Include all Phase 14-21 work: agent hardening, RBAC, taint tracking, workflows,
  skills, knowledge graph, sessions, A2A, MCP templates, WASM sandbox, TUI dashboard,
  production tools, CLI expansion, API expansion, learning productionization,
  Tauri desktop app, and 10 new channels

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 19:14:05 +00:00
Jon Saad-FalconandClaude Opus 4.6 eb9b481510 Subsume NanoClaw into OpenJarvis (Phase 11)
Add four major components that bring NanoClaw's capabilities into the
OpenJarvis framework as native, config-driven modules:

- ClaudeCodeAgent: wraps @anthropic-ai/claude-code SDK via Node.js subprocess
- WhatsAppBaileysChannel: bidirectional WhatsApp messaging via Baileys protocol
- ContainerRunner/SandboxedAgent: Docker sandbox with mount security enforcement
- TaskScheduler: cron/interval/once scheduling with SQLite persistence, MCP tools, CLI

New config sections: [sandbox], [scheduler], [channel.whatsapp_baileys].
New CLI: jarvis scheduler create|list|pause|resume|cancel|logs|start.
46 files changed, ~5,867 lines. 2078 tests pass (36 skipped).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 03:47:07 +00:00
Jon Saad-FalconandClaude Opus 4.6 9ec402ab4a Enrich agent tool awareness, normalize engine tool_calls, add telemetry and eval config
- Add build_tool_descriptions() shared builder for enriched agent system
  prompts (NativeReAct, NativeOpenHands, RLM, Orchestrator structured mode)
- Normalize tool_calls to flat {id, name, arguments} across CloudEngine
  (OpenAI/Anthropic/Google), LiteLLM, and Ollama
- Add Anthropic tool_use extraction and input_schema conversion
- Add Google function_call extraction
- Make ReAct/OpenHands parsing case-insensitive
- Add telemetry efficiency, GPU monitor, and vLLM metrics modules
- Add TOML-based eval suite config system
- Update documentation and changelog

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 01:58:18 +00:00
Jon Saad-FalconandClaude Opus 4.6 68091dd90b Refactor agent hierarchy: extract BaseAgent/ToolUsingAgent helpers, add native ReAct/OpenHands
- Pull shared boilerplate (event emission, message building, generation,
  think-tag stripping) into BaseAgent concrete helpers and ToolUsingAgent
  intermediate base class with tool-call loop
- Add NativeReActAgent and NativeOpenHandsAgent as clean implementations
  built on the new base classes
- Simplify SimpleAgent, OrchestratorAgent, ReActAgent, OpenHandsAgent,
  and RLMAgent to use inherited helpers instead of duplicated logic
- Remove CustomAgent (superseded by BaseAgent subclassing)
- Add backward-compat tests, base agent tests, native agent tests

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 03:59:24 +00:00
Jon Saad-FalconandClaude Opus 4.6 8d538cd1b0 Add orchestrator training, channels, LiteLLM engine, and simplify learning taxonomy
Major changes across parallel sessions:

- Add orchestrator SFT & GRPO training subpackage (learning/orchestrator/)
  with episode types, multi-objective reward, prompt registry, policy model,
  RL environment, and registered learning policies
- Add structured THOUGHT/TOOL/INPUT/FINAL_ANSWER mode to OrchestratorAgent
- Add 15 channel backends (Discord, Slack, Telegram, Email, Webhook, IRC,
  Matrix, Teams, WhatsApp, Signal, Mattermost, BlueBubbles, Feishu,
  Google Chat, Webchat) with channel tools and config
- Add LiteLLM engine backend for unified LLM provider access
- Add RLM agent and REPL tool
- Remove ToolLearningPolicy — learning taxonomy now only targets
  Intelligence (LM weights/routing) and Agents (logic/ICL/tool strategies)
- Rename SFTPolicy to SFTRouterPolicy (backward-compat alias kept)
- Remove OpenClaw agent infrastructure (openclaw*.py, openclaw_bridge.py)
- Fix async streaming tests (asyncio.run vs deprecated get_event_loop)
- Fix server channel route tests (pytest.importorskip for optional fastapi)
- Track uv.lock for reproducibility
- Update CLAUDE.md and docs to reflect all changes

1676 tests pass, 37 skipped.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-23 18:32:32 +00:00
Jon Saad-FalconandClaude Opus 4.6 852259f18b Restructure codebase into 5-pillar architecture with MCP tool management, composition layer, and structured learning
Phase 1: Move RoutingContext to core/types.py, add RouterPolicy and QueryAnalyzer ABCs to intelligence/_stubs.py
Phase 2: Move memory backends to tools/storage/, convert memory/ to backward-compat shims
Phase 3: Add MCPToolAdapter, storage MCP tools, upgrade MCP server to spec 2025-11-25
Phase 4: Add SystemBuilder + JarvisSystem composition layer (system.py)
Phase 5: Add InstrumentedEngine for opt-in telemetry, simplify all agents
Phase 6: Add LearningPolicy ABC taxonomy with SFTPolicy, AgentAdvisorPolicy, ICLUpdaterPolicy
Phase 7: Update config schema (ToolsConfig, MCPConfig, TracesConfig, per-pillar learning policies)

Also: update all docs, README (DSPy-inspired), CLAUDE.md, and add logo assets.
1391 tests pass, 32 skipped. Zero new lint errors. Full backward compatibility via shims.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 05:57:13 +00:00
Jon Saad-FalconandClaude Opus 4.6 d012e6a482 Fix URL summarization, large text handling, and streaming pipeline bugs
- Add URL detection, normalization, and direct fetching to web_search tool
  (handles standalone URLs, embedded URLs, arxiv PDF→abs conversion)
- Add URL pre-expansion in OpenHands agent to bypass tool loop for URL queries
- Add input truncation (_truncate_if_needed) to prevent context window overflow
- Fix stream_bridge ToolResult field access (content/latency_seconds vs output/latency_ms)
- Add XML tool call format parser alongside Action:/Action Input: format
- Reduce default max_turns from 10→3 to cap worst-case response time
- Add empty response fallback text in frontend useChat hook
- Add channels system, security module, and model catalog updates
- Add 30+ new tests for URL fetching, truncation, and agent behavior

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-22 03:17:05 +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-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