LibreAI / Ferramentas de desenvolvimento / semble

// devtools · MinishLab/semble

semble

semble é um projeto de ferramentas de desenvolvimento de código aberto de MinishLab (MinishLab/semble no GitHub). Tem 6.192 estrelas no GitHub e 273 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.

Fast, accurate semantic code search for agents — about 99% fewer tokens than grep plus read.

★ 6,2 mil estrelas⑂ 273 forksMITatualizado out 2026

Ver no GitHub ↗Official site ↗

▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.

// dados do projeto

Dados do projeto

Repositório: MinishLab/semble
Estrelas no GitHub: 6.192
Forks: 273
Licença: MIT
Última atualização no GitHub: 8 de outubro de 2026
Categoria: Ferramentas de desenvolvimento
Tipo de ficha: Guia de instalação completo
Site oficial: Official site

// como funciona

Como funciona

Clarify what your agent wastes time on
If your agent burns tokens grepping and reading files to find code, Semble is the retrieval layer that replaces that.
Install Semble
Install it as a uv tool and run the installer to wire it into your agent.
Configure the integration
Choose the MCP server, CLI instructions, or the dedicated semble-search sub-agent for your agent setup.
Run your first search
Search a local path or a remote git URL in natural language and inspect the returned chunks and your token savings.

// recursos

Por que as pessoas gostam tanto

Semantic plus lexical retrieval

Combines embedding search with lexical matching, adaptively weighting symbol-like queries versus natural-language questions.

MCP server for agents

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.

Token efficient by design

Returns only relevant chunks instead of whole files — the project reports about 99% fewer tokens than grep+read, and semble savings shows your totals.

Fast on CPU

Indexes an average repo in about 500 ms and answers queries in about 1 ms on CPU, per the project's benchmarks.

Local and remote repos

Search a local directory, an https git URL, or several repos at once; content types include code, docs, config or all.

Zero-setup operation

No API keys, GPU or external services required; a .sembleignore file controls what gets indexed.

// execute você mesmo

Execute você mesmo

Clone the repository
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 semble
```
Install Semble
Install it as a uv tool and run its installer to set up your agent integration.
```
uv tool install semble
semble install
```
Search a codebase
Search a local repo (the index is built and cached automatically) or a remote one.
```
semble search "authentication flow" ./my-project
```

// casos de uso

O que você pode criar

Letting a coding agent find the right function in a large monorepo without reading hundreds of files
Answering 'where is X implemented?' questions during code review
Searching several related microservice repos in one query
Cutting agent token costs on long debugging sessions in legacy codebases

// perguntas frequentes

Perguntas frequentes

Who maintains Semble?

Semble is maintained by MinishLab (the Minish team), with docs at minish.ai.

Is Semble free?

Yes — it is open source under the MIT license.

Does it need a paid API key?

No. Semble runs locally on CPU with its own models and needs no API keys, GPU or external services.

How does it compare to grep or a vector database?

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.

How do I get started?

Os outros projetos de Ferramentas de desenvolvimento com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se semble não for o ideal para você.

OpenCode★ 211,6 mil
The open source coding agent
Transformers★ 166,9 mil
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
claude-code★ 149,7 mil
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
cc-switch★ 141,3 mil
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
codex★ 128,2 mil
OpenAI's lightweight coding agent that runs locally in your terminal

// mais em devtools

Mais em Ferramentas de desenvolvimento

Projetos de Ferramentas de desenvolvimento próximos no catálogo, os mais próximos em estrelas de semble: continue explorando dos dois lados dele.

claude-code-security-review★ 6,3 mil
An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.
destructive_command_guard★ 6,1 mil
A guard that blocks dangerous git and shell commands before AI agents can execute them.
mission-control★ 6,3 mil
Self-hosted control plane for AI agents: dispatch tasks, review runs, track spend, and operate OpenClaw, Claude Code, Codex, and other runtimes.
agents-cli★ 6,0 mil
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
CopilotForXcode★ 6,3 mil
AI coding assistant for Xcode
magic-mcp★ 6,0 mil
It's like v0, but in your Cursor / Claude Code / Windsurf: search 10,000+ React/Tailwind components, generate new UI with AI, and publish your own — right fr…

Baixe o semble

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.

Ver no GitHub ↗← Mais ferramentas de Ferramentas de desenvolvimento