MCP et appels d’outils
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
Agents et multi-agents
sno-ai/llmix
A production LLM call layer for AI agents and tools that wraps existing provider SDKs with config-driven model presets, caching, resilience patterns, and key rotation across Python, TypeScript, and Rust.
★ 131⑂ 28Python
Apache-2.0Q91
Agents et multi-agents
microsoft/SkillOpt
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts
★ 16,1K⑂ 1,5KPython
MITQ86
Agents et multi-agents
anthropics/claude-agent-sdk-python
An open-source project focused on python sdk for agent applications.
★ 7,9K⑂ 1,2KPython
MITQ84
MCP et appels d’outils
thinkinaixyz/deepchat
DeepChat is an open-source, local-first AI agent desktop client built in TypeScript and Electron. It integrates cloud LLMs, local models, MCP services, installable Skills, ACP agents, and remote control for messaging apps, following the Tape.systems philosophy to keep agent sessions recoverable and inspectable.
★ 6,2K⑂ 712TypeScript
Apache-2.0Q98
MCP et appels d’outils
neomjs/neo
A self-evolving software organism that combines a multi-threaded frontend application engine with an end-to-end AI engineering team operating via cross-model swarm coordination, persistent memory, and runtime application embodiment.
★ 3,3K⑂ 231JavaScript
MITQ98
MCP et appels d’outils
langchain4j/langchain4j
An idiomatic, open-source Java library for building LLM-powered applications on the JVM, offering a unified API over popular LLM providers and vector stores with support for tool calling, MCP, agents, and RAG.
★ 12,8K⑂ 2,4KJava
Apache-2.0Q98
Agents et multi-agents
pydantic/pydantic-ai
A Python agent framework designed to help developers build production-grade applications and workflows with Generative AI, emphasizing type-safety, structured validation, and ergonomic design.
★ 19,1K⑂ 2,5KPython
MITQ98
MCP et appels d’outils
graphify-labs/graphify
Graphify is a local-first CLI tool and AI assistant skill that parses codebases, docs, SQL schemas, and PDFs into a queryable knowledge graph using deterministic AST parsing, eliminating the need for vector stores or embeddings.
★ 104K⑂ 10,1KPython
Apache-2.0Q98
Agents et multi-agents
nousresearch/hermes-agent
A self-improving AI agent built by Nous Research that features a closed learning loop, multi-platform messaging integration, and flexible model provider switching. It is designed to run on low-cost VPS, GPU clusters, or serverless infrastructure.
★ 227,1K⑂ 44,4KPython
MITQ98
Agents et multi-agents
omnigent-ai/omnigent
Omnigent is an open-source meta-harness that provides a unified orchestration layer for various AI coding agents, allowing users to swap harnesses, enforce governance policies, run cloud sandboxes, and collaborate in real-time across multiple devices.
★ 8,3K⑂ 1,3KPython
Apache-2.0Q98
Agents et multi-agents
google/adk-python
An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
★ 21K⑂ 3,8KPython
Apache-2.0Q98