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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #91 of 2,845 repositories GStars tracks this week (top 3%).
5 releases in the last 90 days, the latest today, with 16 contributors on GitHub.
Peaked at #91 in the weekly ranking the week of Oct 11, its best in the past year.
Use Cases & Benefits
- Runs a local-first AI agent that controls browser, filesystem, shell, and external tools using open-weight models via llama.cpp on your machine.
- Enables long, multi-step AI workflows with small quantized local models using efficient TurboQuant compression and a compact, grammar-constrained prompt loop.
- Use for automating complex desktop tasks like web browsing, file editing, and shell commands with AI-driven approvals and parallel execution.
- Use for integrating local or cloud AI models in fusion mode to orchestrate and delegate tasks across multiple workers for scalable AI workflows.
- Use for embedding a privacy-focused AI agent in your own TypeScript apps or CLI tools with full local state, memory, and skill management.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Drives your browser, edits files, runs approved commands, and remembers context across sessions. Open source, running on our TurboQuant
llama.cppso long sessions with small local models fit in less memory.A local-first AI agent that runs the control loop and all state on your machine. It works across your machine: browse the web, read and edit files, run approved shell commands, inspect documents, remember context across sessions, schedule follow-ups, and call external tools over MCP. Run it on a local model, a cloud model, or both at once in Fusion mode, where one model plans and a pool of workers executes. Embed it in your own apps over HTTP or a Tauri sidecar.
llama.cppfirst, so small quantized models stay useful for long, multi-step work on consumer hardware.The installer downloads the release archive, verifies the checksum, and installs the CLI plus support assets (
grammars/, native prebuilds, and bundledripgrep). Atomic Agent updates itself in place; after an update the TUI prompts you to restart. Outside the TUI, runatomic-agent update(oratag update) to check for a newer release and re-run the installer in place;atomic-agent update --checkprobes without installing, and--version <tag>pins a specific release. Only the installed binary can self-update; a dev checkout updates via git.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+301 stars over 7 days across 8 snapshot days; best day +116 on Oct 9.
Forks
269+15
Open issues
37+1
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 366.3K | +249.0K | 60 | 4 days ago |
| vxcontrol/pentagi | 32.0K | +5.4K | 75 | 17 days ago |
| DietrichGebert/ponytail | 173.5K | +5.3K | 75 | 6 days ago |
| lexmount/moli | 20.1K | +4.5K | 75 | 1 day ago |
| hugohe3/ppt-master | 61.7K | +3.8K | 75 | 5 days ago |
| AtomicBot-ai/atomic-agent | 3.3K | +492 | 35 | today |
| Category median | 61.7K | +5.3K | 75 | — |
Also by AtomicBot-ai
Other repositories from this maintainer that GStars tracks
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