Herramientas de desarrollo
grepai
grepai: semantic code search and call graphs for AI agents, running 100% locally on your machine.
★ 1,9k estrellasMIT
Ver la guía →semble es un proyecto de herramientas de desarrollo de código abierto de MinishLab (MinishLab/semble en GitHub). Tiene 6.192 estrellas en GitHub y 273 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 8 de octubre de 2026.
Fast, accurate semantic code search for agents — about 99% fewer tokens than grep plus read.
If your agent burns tokens grepping and reading files to find code, Semble is the retrieval layer that replaces that.
Install it as a uv tool and run the installer to wire it into your agent.
Choose the MCP server, CLI instructions, or the dedicated semble-search sub-agent for your agent setup.
Search a local path or a remote git URL in natural language and inspect the returned chunks and your token savings.
Combines embedding search with lexical matching, adaptively weighting symbol-like queries versus natural-language questions.
Runs as an MCP server with search and find_related tools; repos are indexed on demand and cached, and local paths re-index on file changes.
Returns only relevant chunks instead of whole files — the project reports about 99% fewer tokens than grep+read, and semble savings shows your totals.
Indexes an average repo in about 500 ms and answers queries in about 1 ms on CPU, per the project's benchmarks.
Search a local directory, an https git URL, or several repos at once; content types include code, docs, config or all.
No API keys, GPU or external services required; a .sembleignore file controls what gets indexed.
Clone Semble if you want the source; most users install the tool in the next step.
git clone https://github.com/MinishLab/semble.git
cd sembleInstall it as a uv tool and run its installer to set up your agent integration.
uv tool install semble
semble installSearch a local repo (the index is built and cached automatically) or a remote one.
semble search "authentication flow" ./my-projectSemble is maintained by MinishLab (the Minish team), with docs at minish.ai.
Yes — it is open source under the MIT license.
No. Semble runs locally on CPU with its own models and needs no API keys, GPU or external services.
Grep matches text only and forces the agent to read whole files; Semble returns ranked, relevant chunks from a semantic index, purpose-built for agent consumption.
uv tool install semble, run semble install, then semble search with a natural-language query against your repo.
grepai: semantic code search and call graphs for AI agents, running 100% locally on your machine.
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