- Add createUpdaterArtifacts: true to bundle config, which tells
cargo tauri build to produce .sig files alongside installers
- Update pubkey to match regenerated key (now with password)
- Without createUpdaterArtifacts, no .sig or .tar.gz updater bundles
are produced, so latest.json was never generated
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduces the Operator subsystem — persistent agents that run on a schedule
with automatic state management. Built on a new OperativeAgent (extends
ToolUsingAgent) with built-in session persistence, memory state recall, and
tick-aware lifecycle. Includes OperatorManager for lifecycle management,
TOML manifest format, 4 bundled operators, 9 CLI commands, and 39 tests.
New: OperativeAgent, operators package (types/loader/manager),
operators CLI, OperatorsConfig, OPERATOR_TICK_START/END events.
Modified: system.py (system_prompt/operator_id passthrough),
scheduler.py (operator metadata forwarding), config.py, events.py.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Set updater pubkey from generated signing keypair
- Fix endpoint URL to use HazyResearch/OpenJarvis (not jonsf)
- TAURI_SIGNING_PRIVATE_KEY configured as GitHub Secret
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The tauri action attempts certificate import when APPLE_CERTIFICATE is
present in the environment (even as empty string). Move Apple signing
env vars to a conditional step that only writes to GITHUB_ENV when the
secret is actually non-empty.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add icons/icon.ico generated from 256x256.png (required for Windows resource file)
- Add icon.ico to bundle.icon list in tauri.conf.json
- Set APPLE_SIGNING_IDENTITY to '-' when APPLE_CERTIFICATE is not configured,
skipping codesign instead of failing with keychain import error
- Remove macos-13 matrix entry (Intel runners sunset by GitHub)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The tauri-apps/tauri-action runs `npx tauri build` which requires
@tauri-apps/cli to be installed as an npm dependency. Without it,
npx fails with "could not determine executable to run".
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
Extend the eval framework to compute per-sample hardware efficiency
metrics when model hardware parameters are provided in TOML config:
- ModelConfig gains param_count_b, active_params_b, gpu_peak_tflops,
gpu_peak_bandwidth_gb_s, num_gpus fields
- RunConfig gains metadata dict, populated by expand_suite() from
model hardware params
- EvalRunner._process_one() computes IPW (Intelligence Per Watt),
IPJ (Intelligence Per Joule), MFU, and MBU per sample
- All telemetry fields (energy, power, GPU util, throughput, MFU, MBU,
IPW, IPJ) written to JSONL output and summary JSON
- RunSummary includes MetricStats (mean/median/min/max/std) for all
telemetry metrics plus total_energy_joules
- GLM-4.7-Flash eval config enriched with A100 SXM hardware params
- 146 eval tests pass (26 new tests for telemetry, efficiency metrics,
metadata flow, MetricStats helpers)
- User guide and API docs updated with new fields and output format
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewrites the main docs/index.md to reflect the current five-pillar
structure (Intelligence, Agents, Tools, Engine, Learning) with
accurate descriptions of each. Updates project status to v1.5
Phase 10 complete, seven agent types, 1800+ tests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The openclaw_protocol, openclaw_transport, openclaw_plugin, and
openclaw_bridge modules are not installed in CI. Replace their
mkdocstrings auto-doc directives with note admonitions linking
to the architecture docs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reflects the new agent hierarchy (BaseAgent helpers, ToolUsingAgent
intermediate base, NativeReActAgent, NativeOpenHandsAgent, RLMAgent,
OpenHandsAgent SDK) across all architecture, user-guide, extending,
contributing, roadmap, and API reference pages. Removes CustomAgent
references and adds Mermaid diagrams for new agent types.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
- Remove --router CLI flag from `jarvis ask`; use config fallback chain
(default_model -> first engine model -> fallback_model) instead
- Simplify SDK _resolve_model() to match the same fallback chain
- Reclassify OrchestratorSFTPolicy and OrchestratorGRPOPolicy as
IntelligenceLearningPolicy (they fine-tune LM weights, not agent logic)
- Add MCPServer.get_tools() for SystemBuilder integration
- Refactor SystemBuilder._resolve_tools() to discover tools via MCPServer
with dependency injection, replacing manual per-tool-name imports
- Update CLI router tests to test the new fallback chain
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Evaluation framework (evals/): benchmarking system for measuring accuracy
across four categories — Chat (WildChat), Reasoning (SuperGPQA), RAG (FRAMES),
and Agentic (GAIA). Two backends: jarvis-direct (engine-level) and jarvis-agent
(agent-level with tool calling), both supporting local and cloud models.
Datasets adapted from IPW, scorers include exact match, LLM letter extraction,
and LLM-as-judge. Parallel execution via ThreadPoolExecutor with incremental
JSONL output. CLI: python -m evals {run,run-all,summarize,list}. 57 tests pass.
SVG fix: center logo content within viewBox by wrapping icon+text in a
translate(90,0) group, eliminating the left-shift visible in the README.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tests: GuardrailsEngine.stream() async tests, OpenClawChannelBridge listener_loop
tests, channel CLI command tests, FileReadTool sensitive file blocking, ingest_path
sensitive file filtering, SecurityConfig/ChannelConfig config tests. Documentation:
new user guides, architecture pages, and API references for Security and Channels
modules; updated CLAUDE.md, configuration docs, CLI reference, and mkdocs.yml nav.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
- Add React/TypeScript Chat UI frontend with sidebar, conversation management,
model selector, streaming indicator, and savings panel
- Wire up TelemetryStore in `jarvis serve` so TELEMETRY_RECORD events are
persisted to SQLite (matching the pattern from `jarvis ask`)
- Switch agents (orchestrator, react, openhands, openclaw_plugin) and the
direct route handler to use `instrumented_generate()` so token counts are
recorded and the /v1/savings endpoint returns real data
- Restyle savings panel model display with bordered card boxes (green accent
for local, orange for cloud) instead of plain text rows
- Add SGLang engine backend, dashboard routes, savings computation, and
agent-stream bridge for SSE streaming
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
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>
- 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>
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>
