🔍AgenticSeek
Fosowl/agenticSeek · homepage ↗
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity.
⭐ Very popular: 27k stars, gaining about 90 a week
View on GitHub ↗repo profile
momentum
durability
bus factor = how many people it takes to cover more than half the commits (6 months). 1 is a solo project; higher means the work is spread across a team. top-author share is the single busiest author's slice of those commits.
since we covered it
why it's a big deal
- Runs an autonomous agent that browses the web, generates code, and plans tasks entirely on local hardware, so no data leaves the machine and there are no API costs.
- Positions itself as a local alternative to Manus AI for users who want agentic behaviour without a cloud provider, trading recurring fees for a one-time GPU requirement.
- Model quality scales with hardware, with the maintainers noting 7B models hallucinate frequently and 32B or larger on 24GB VRAM is needed to handle most tasks reliably.
under the hood
- Python backend split across a REST API server, a CLI, and an llm_router provider abstraction, with a JavaScript and React frontend served at localhost:3000.
- Ships via Docker Compose bundling SearxNG for local search, Redis for caching, and ChromeDriver for browser automation, requiring Python 3.10 and Docker Engine.
- Supports local inference through Ollama, LM Studio, and OpenAI-compatible servers, plus optional API backends including OpenAI, Gemini, Deepseek, and OpenRouter, with an llm_server component for running the model on a separate machine.
Radar summary, generated from the project's public sources
star history
- PR#9 6k 2025-05-28
- now 27k + 21k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Output and attention are roughly in balance.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Fully Local AI Agent with Autonomous Web & Code Capabilities
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