Every desktop download link in the docs was broken on two counts:
1. They pointed at the rolling `desktop-latest` prerelease, which had
been removed (404 for all of README, docs/index.md,
docs/downloads.md, docs/getting-started/installation.md).
2. They used the wrong version in the filenames (`OpenJarvis_0.1.0_*`)
— the actual published assets were never `0.1.0`.
Repointed all four files at the new stable `Desktop desktop-v1.0.2`
release with the exact asset filenames it ships
(`OpenJarvis_1.0.1_*` — the Tauri bundle version is 1.0.1, distinct
from the 1.0.2 Python/CLI release). This release also includes a
macOS universal `.dmg`, which the prior desktop releases lacked
(addresses #356 "No Mac Download") — so the macOS rows now say
"Universal" (Apple Silicon + Intel) instead of "Apple Silicon".
All five download URLs verified live (HTTP 200) against the
desktop-v1.0.2 release before committing.
Note: `docs/desktop-auto-update.md` still references the
`desktop-latest` rolling channel — that's the auto-updater's endpoint,
a separate concern from the manual download links, and is left as-is.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The documented install command pointed at `https://openjarvis.ai/install.sh`,
but that domain is community-operated (not controlled by this project) and
its TLS config broke — every new user hit `sslv3 alert handshake failure`
(#337, #352). Since we can't fix a domain we don't control, this moves the
installer onto infrastructure we DO control: the project's GitHub Pages
docs site.
Changes:
- **`docs/gen_install_script.py`** (new) + **`mkdocs.yml`**: a `gen-files`
hook copies `scripts/install/install.sh` verbatim into the built site at
`install.sh` on every `mkdocs build`. Single source of truth — the script
stays at `scripts/install/install.sh` (still bundled into the wheel as
`_install_scripts/`); the published copy can't drift. Verified locally:
`mkdocs build` emits `site/install.sh` byte-identical to the source.
New canonical URL: `https://open-jarvis.github.io/OpenJarvis/install.sh`
— HTTPS always valid (GitHub's cert), fully under project control.
- **`README.md`**: canonical command switched to the github.io URL for
both the Installation and Quick Start blocks. Also addresses the uv
discoverability gap — explicitly states the curl installer downloads uv
for you (no prerequisite), and that the Windows **desktop .exe** expects
uv to be installed first, with the exact PowerShell command.
- **`docs/getting-started/{install,wsl2,macos,linux}.md`**: canonical URL
switched to github.io. `install.md` gains an "Install URL" info note
explaining the github.io URL is canonical and that the older
`openjarvis.ai` URL is community-operated with intermittent TLS issues.
- **`scripts/install/install.sh`** + **`jarvis-wrapper.sh`**: usage comment,
the WSL re-run hint (added in #399), and the wrapper's re-install message
all updated to the github.io URL.
Migration note for maintainers: ask whoever operates `openjarvis.ai` to
CNAME it to `open-jarvis.github.io`. Once they do, `openjarvis.ai/install.sh`
will serve this same GitHub Pages content with a valid GitHub-managed cert,
and the nicer brand URL can become canonical again with zero further code
changes. Until then, the github.io URL works and is under our control.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Addresses #337 (also reported as #352).
`curl -fsSL https://openjarvis.ai/install.sh | bash` — the documented
one-liner — currently fails with:
curl: (35) ... sslv3 alert handshake failure
Reproduced from this machine just now; @kumanday and @filactre both
report the same against different OpenSSL and LibreSSL versions. The
underlying SSL issue is on the openjarvis.ai server (cert / TLS
config) and needs an operational fix at the infra layer — not
something a code change in this repo can resolve.
What this commit *can* do is unblock users immediately:
- `README.md` (under "Installation"): callout pointing at issue #337
and the GitHub-mirror fallback.
- `docs/getting-started/install.md`: same callout as a
Material-for-MkDocs `!!! warning` admonition.
Both link to the canonical script at
`https://raw.githubusercontent.com/open-jarvis/OpenJarvis/main/scripts/install/install.sh`.
The script is identical content — it's the same `scripts/install/install.sh`
served from GitHub's CDN instead of openjarvis.ai. Once the
installer runs, it pulls everything else (`uv` from astral.sh, the
project source from `github.com/open-jarvis/OpenJarvis.git`, Ollama
from `ollama.com`) — none of which depend on `openjarvis.ai`. So
the rest of install proceeds normally.
When the openjarvis.ai SSL issue is fixed at the server / DNS layer,
both callouts can be removed and the canonical URL becomes the only
documented path again.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(mining): add Pearl model conversion workflow
* test(mining): tolerate missing Docker device request type
* docs(mining): record Gemma and Qwen conversion evidence
* docs(mining): record Qwen local validation evidence
---------
Co-authored-by: krypticmouse <herumbshandilya123@gmail.com>
Reported via twitter (issue #269): the macOS install guide and other
docs recommend a 4B model on CPU but the README and quickstart pull /
ask a much larger model (qwen3:8b) — confusing and slow for first-time
CPU-only users.
Switch the README quickstart and the docs/getting-started/quickstart.md
'Chat with Any Model' tile to qwen3.5:4b, with an inline note that GPU
users can scale up to qwen3.5:9b or larger. This matches the existing
chat-simple preset and the macOS guide's CPU recommendation.
Closes#269
The project had two overlapping directories: desktop/ (Tauri Rust backend +
stale React components) and frontend/ (real React app + dead Tauri stub).
This consolidates everything under frontend/:
- Move desktop/src-tauri/ → frontend/src-tauri/ (the real 1,720-line Rust
backend with Ollama sidecar, backend lifecycle, cloud keys, overlay, etc.)
- Preserve 9 old desktop React components in frontend/src/components/Desktop/
(excluded from TS build — APIs have drifted, kept for future integration)
- Delete the old frontend/src-tauri/ stub (246 lines, never compiled)
- Delete desktop/ entirely
- Fix tauri.conf.json frontendDist path (../../frontend/dist → ../dist)
- Update CI workflow, bump script, .gitignore, and docs paths
- Rename setup/ → Setup/ for consistent PascalCase component directories
Update all human-readable strings (docstrings, comments, descriptions,
log messages, TOML config descriptions) to correctly say
"DeepResearchBench" instead of "LiveResearchBench" for the
deep_research_bench benchmark. Class names and file paths are
unchanged for backward compatibility.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Move download/clone/star badges from docs/index.md to README.md
- Use TRAFFIC_TOKEN secret instead of GITHUB_TOKEN for Traffic API
(requires admin-level access that GITHUB_TOKEN doesn't provide)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
openjarvis was already taken on PyPI, so the package is registered as
OpenJarvisAI. Update pyproject.toml and docs badges to match.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Four new docs matching the morning-digest.md pattern:
- deep-research.md — multi-hop research with document indexing
- code-assistant.md — orchestrator with code execution + file I/O
- scheduled-monitor.md — persistent operative on cron schedule
- chat-simple.md — lightweight chat, simplest setup
Updated quickstart with tabs for all agent types and expanded
starter configs table from 3 to 7 presets. Updated MkDocs nav
and index page to link all 5 user guides.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
README now shows a table of example configs with copy commands, plus
a full list of built-in agents (morning_digest, deep_research,
monitor_operative, orchestrator, etc.) with descriptions.
Quickstart page adds a "Morning Digest" tab and Starter Configs
table with links to example config files.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Link morning-digest.md in the User Guide nav section. Also add
all existing user-guide pages that were missing from the nav.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
These were force-added previously but are already in .gitignore.
Files remain on disk but are no longer tracked in git.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Full morning digest system:
- MorningDigestAgent, DigestStore, digest_collect tool, TTS backends
- Connectors: Oura, Strava, Spotify, Google Tasks, Apple Health, Apple Music
- CLI `jarvis digest` command + FastAPI /api/digest endpoints
- Cartesia, Kokoro, OpenAI TTS backends with persona prompts
Unified OAuth setup across all surfaces:
- Generic OAuthProvider registry for Google, Strava, Spotify
- CLI auto-opens browser + catches callback (no more paste-code)
- Server /oauth/start + /oauth/callback endpoints for desktop/browser
- Frontend OAuthPanel with popup + polling
Apple connectors:
- Apple Health reads from HealthKit DB or iPhone export XML
- Apple Music queries Music.app via AppleScript
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(evals): add tool_choice=auto + fix traces thread safety
Two fixes for eval accuracy and stability:
1. TauBench agent: add tool_choice="auto" to match tau2's native
LLMAgent behavior. Without this, Qwen and GPT-5.4 score 10-14pp
below leaderboard because the models don't receive explicit
tool-calling guidance.
2. SystemBuilder: apply self._traces flag to config.traces.enabled.
Previously builder.traces(False) was a no-op — traces stayed
enabled, creating SQLite connections in the main thread that
crashed when accessed from ThreadPoolExecutor worker threads
in GAIA evals ("SQLite objects created in a thread can only be
used in that same thread").
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: enrich inference events with model response content and add Trace.messages
Add content, tool_calls, and finish_reason fields to INFERENCE_END events
published by InstrumentedEngine. For non-instrumented engines, BaseAgent._generate()
now publishes INFERENCE_START/END events with the same rich data. Add _message_to_dict
helper and messages field to Trace dataclass for full conversation capture.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: enhance TraceCollector with rich content, tool details, and messages
Capture model response content, tool_calls, and finish_reason in GENERATE
steps; store tool arguments and result text in TOOL_CALL steps; extract
conversation messages from AgentResult.metadata into Trace.messages; and
implement the last_trace property. Also adds a messages column to the
TraceStore schema so messages survive the SQLite round-trip.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: agents store conversation messages in AgentResult.metadata
Both NativeReActAgent and MonitorOperativeAgent now serialize their
internal messages list via _message_to_dict and include it in the
returned AgentResult.metadata under the "messages" key. This enables
TraceCollector to capture full conversation traces.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: wire TraceCollector into system._run_agent and JarvisAgentBackend
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: persist rich trace data in eval trace JSONL files
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: add TerminalBench config for Qwen 3.5-122B
* fix: add SQLite migration for traces.messages column on existing databases
* fix: check trace_store instead of shared config for trace enablement
* feat(evals): add ToolCall-15, LiveCodeBench, LiveResearchBench + telemetry
Three new benchmark integrations and full telemetry wiring for the
NeurIPS 2026 IPW/IPJ experiments.
## New Benchmarks
### ToolCall-15
15-scenario tool calling accuracy benchmark across 5 categories.
All scenarios defined inline with deterministic scoring (0/1/2 per
scenario). Fast to run (~5min/model) — ideal for optimization loops.
### LiveCodeBench
Competitive programming from LeetCode/AtCoder/CodeForces via
HuggingFace dataset. Sandboxed code execution with per-test
timeouts. Single-turn generation via jarvis-direct backend.
### LiveResearchBench
100 expert-curated deep research tasks. LLM-as-judge scoring
across 4 dimensions (comprehensiveness, insight, instruction
following, readability). Uses web_search tool for live research.
## Telemetry Wiring
- FLOPs estimation: 2 * active_params * total_tokens (MoE-aware)
- Energy/power capture flows from InstrumentedEngine through
backends to EvalResult and RunSummary
- New telemetry_summary section in output JSON with IPW/IPJ
- JarvisDirectBackend now propagates gpu_metrics flag
- TauBench forwards telemetry flags to SystemBuilder
## Experiment Plan
Added docs/experiments/neurips-2026-plan.md tracking the full
experiment matrix: 9 models x 7 benchmarks across NVIDIA, AMD,
and Apple hardware stacks.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Jon Saad-Falcon <jonsaadfalcon@gmail.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Closes#158 — the README and installation docs assumed uv was already
installed without explaining how to get it, creating a barrier for new
users (especially on macOS). Adds a prerequisites table to both the
README and docs/getting-started/installation.md with platform-specific
install commands, and links to the existing macOS step-by-step guide.
- Skip SetupWizard on launch, go straight to Chat page
- Add Data Sources page with sidebar nav (separate tabs for data sources + messaging channels)
- Add "Connect your data" banner + quick-action buttons on Chat empty state
- Add hint on deep research agent pointing to Data Sources + Messaging tabs
- Consistent naming: "Data Sources" and "Messaging Channels" everywhere
- Fix Apple Notes / iMessage setup (remove broken system prefs link)
- Fix Slack data source: auto-join public channels, rate limit retry, is_member filter
- Add channels:join scope to all Slack manifests + docs
- Fix Gmail: use gmail_imap connector (IMAP + app password), increase limit to 5000
- Fix sync endpoint: run in background thread, return immediately
- Show sync progress with progress bar, error messages, Sync Now / Re-sync / Retry buttons
- Add triggerSync() API + SyncStatusDisplay component
- Rewrite all connector setup instructions with precise click-by-click steps
- Notion: share all pages at once via top-level page sharing
- Obsidian: show how to find vault path via Obsidian UI or Finder
- SendBlue: add link to API Credentials page, add ngrok webhook step
- Slack messaging: add Copy button for JSON manifest
- Add OpenJarvis Slack icon asset
- Shorten deep research template description
- Fix desktop app port (8222 → 8000 to match server default)
- Disable auto-updater for local dev builds
- Register Slack, Outlook, GCalendar connectors in __init__.py
- Auto-create default agent when setting up messaging channels
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Roadmap: updated messaging status (iMessage/SMS + Slack working,
WhatsApp Baileys blocked, Meta Cloud API planned).
Testing plan: 12 query types across 3 platforms (Interact, Slack,
iMessage/SMS) with execution phases and success criteria.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Added SendBlue (iMessage/SMS) and Slack messaging setup with detailed
step-by-step instructions, App Manifest JSON, webhook registration,
and troubleshooting tables. Reorganized doc into two sections:
Messaging Channels (talk to agent) and Data Connectors (search data).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Register sendblue in channels/__init__.py so ChannelRegistry works
- Auto-restore SendBlue bindings on server startup from database,
re-creating ChannelBridge + DeepResearchAgent so webhooks survive
server restarts
- Add sendblue to CLI channel_cmd.py (_get_channel, help text) and
SystemBuilder._resolve_channel() for config.toml support
- Health check endpoint GET /v1/channels/sendblue/health returns
channel_connected, bridge_wired, ready status
- Frontend: SendBlueWizard checks health on mount, shows
"Disconnected" badge with "Reconnect" button when bridge is dead
- Docs: CLI usage, server restart behavior, ngrok re-registration,
troubleshooting table, health check endpoint
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers both data connector (read messages) and messaging channel (DM the agent).
Includes the full App Manifest JSON, required scopes table, and all the gotchas
we discovered (Request URL, reinstall requirement, App Token vs Bot Token, etc.).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers setup instructions and troubleshooting for all 12 connectors:
Gmail, Google Drive, Calendar, Contacts, Slack, Notion, Granola,
Apple Notes, iMessage, Outlook, Obsidian, Dropbox.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
