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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.

Dados do repositório público

Índice do projeto

18 Projetos
Captura de tela de Askimo
MCP e chamadas de ferramentas

Askimo

askimo-ai/askimo

A native desktop AI client for chat, local RAG, multi-step AI workflows (Plans), and agent skills, supporting multiple cloud and local LLM providers while keeping user files strictly on the machine.

★ 347⑂ 73Kotlin
AGPL-3.0Q94
Captura de tela de NeuroLink
MCP e chamadas de ferramentas

NeuroLink

juspay/neurolink

A TypeScript integration platform providing a unified API for 30+ AI providers and 100+ models, enabling provider swapping, multi-modal voice processing, RAG, memory, and MCP-native tool integration.

★ 121⑂ 124TypeScript
MITQ93
Captura de tela de comfyui-mcp
MCP e chamadas de ferramentas

comfyui-mcp

artokun/comfyui-mcp

A local-first, agent-native control plane for ComfyUI that provides an MCP server and sidebar agent to generate images, video, and audio, author and run workflows, and edit live graphs using natural language across any LLM.

★ 599⑂ 93TypeScript
MITQ92
MCP e chamadas de ferramentas

context7

upstash/context7

A documentation service supplying library references and examples to LLMs and AI editors.

★ 61,6K⑂ 3KTypeScript
MITQ90
Captura de tela de SBproxy
MCP e chamadas de ferramentas

SBproxy

soapbucket/sbproxy

An open-source, self-hosted Enterprise AI Gateway and LLM proxy written in Rust, providing an OpenAI-compatible API for over 60 providers and supporting local model hosting, MCP tool federation, and robust traffic governance.

★ 49⑂ 1Rust
Apache-2.0Q86
Captura de tela de Metronix Memory
MCP e chamadas de ferramentas

Metronix Memory

mtrnix/metronix-memory

Self-hosted memory infrastructure for AI agents featuring MCP-native integration, hybrid RAG, a temporal knowledge graph, and an ontology layer, designed for local-model friendliness and durable, agent-scoped context.

★ 39⑂ 7Python
Apache-2.0Q86

Página 2 / 2 · 18 projetos

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