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MCP e chamadas de ferramentas · Projetos de AI de código aberto no GitHub

Um índice baseado em fatos de projetos de desenvolvimento de LLM, agentes, MCP, RAG e AI, com licença, configuração, download, capturas de tela e recursos relacionados para cada item.

Tags populares Agente LLM RAG MCP Programação Inferência Chamadas de ferramentas Embeddings Banco de dados vetorial Multimodal Ajuste fino Avaliação Abrir código-fonte Auto-hospedado Python TypeScript Rust Voz Visão Fluxo de trabalho

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2 Projetos
Captura de tela de Headroom: Context Compression Layer for AI Agents
MCP e chamadas de ferramentas

Headroom: Context Compression Layer for AI Agents

headroomlabs-ai/headroom

Headroom is a local-first context compression layer that reduces token usage for AI agents by compressing tool outputs, logs, files, and RAG chunks before they reach the LLM. It offers library, proxy, and MCP server modes and claims to preserve answer accuracy while cutting tokens by 15-95% depending on workload.

★ 65K⑂ 4,9KPython
Apache-2.0Q98
Captura de tela de Serena: A Semantic Code Retrieval and Editing MCP Toolkit for AI Agents
MCP e chamadas de ferramentas

Serena: A Semantic Code Retrieval and Editing MCP Toolkit for AI Agents

oraios/serena

Serena is an MIT-licensed, Python-based MCP toolkit that provides AI coding agents with IDE-grade semantic code retrieval, editing, refactoring, and debugging capabilities through high-level symbol-level abstractions.

★ 27,6K⑂ 1,8KPython
MITQ98

Atualizado recentemente

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