atomic-agent MCP Server
AtomicBot-ai/atomic-agent
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
AtomicBot-ai/atomic-agent is a TypeScript tool licensed under MIT. Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp. Topics: agents, ai-agent, browser-automation, cli, gguf, llama-cpp, llm, local-first, nodejs, playwright, tui, typescript, hermes-agent, local-llm, openai, openclaw, gbnf, local-ai-agent, mcp.
Ranked #545 out of 24840 indexed tools.
In the top 3% of all indexed tools.
Has 2,496 GitHub stars.
Has 24 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
2,496 stars → well-known project
Last commit today → actively maintained
79/120 issues closed → decent issue management
24 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
<div align="center"> # Atomic Agent ### A local-first AI agent that runs on your machine, with local or cloud models. Drives your browser, edits files, runs approved commands, and remembers context across sessions. Open source, running on our TurboQuant `llama.cpp` for +30-50% throughput on small local models. **[Quick Install](#quick-install) · [Uninstall](#uninstall) · [Benchmarks](#benchmarks) · [Why Local-First](#why-local-first) · [Ways to Use It](#ways-to-use-it) · [Docs](#development)** </div> --- A local-first AI agent that runs the control loop and all state on your machine. It drives your desktop: browse, read and edit files, run approved shell commands, inspect documents, remember context across sessions, schedule follow-ups, and call external tools over MCP. Embed it in your own apps over HTTP or a Tauri sidecar. `llama.cpp` first, so small quantized models stay useful for long, multi-step work on consumer hardware. ## Quick Install macOS / Linux: ```bash curl -fsRead full README on GitHub →
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