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
Inférence, déploiement et exécution
kvcache-ai/mooncake
Mooncake is a C++ infrastructure project for large-scale LLM inference and training. It separates prefill, decode, and storage resources while providing high-performance transfer, distributed KV-cache storage, and fault-tolerant expert-parallel communication.
★ 6,1K⑂ 1KC++
Apache-2.0Q98
Agents et multi-agents
giskard-ai/giskard-oss
An open-source Python library for evaluating and testing LLM-based and agentic systems, including multi-turn evaluations, LLM-as-judge checks and automated vulnerability scanning.
★ 5,7K⑂ 513Python
Apache-2.0Q98
Agents et multi-agents
potpie-ai/potpie
Potpie transforms a codebase and software development lifecycle into a living context graph for AI agents, indexing code, structure, decisions, source history, and team knowledge to enable context-aware coding, planning, and debugging.
★ 5,5K⑂ 642Python
Apache-2.0Q98
Inférence, déploiement et exécution
gpustack/gpustack
GPUStack is an open-source GPU cluster manager for serving AI models and provisioning on-demand, SSH-accessible GPU instances. It orchestrates inference engines including vLLM, SGLang, and TensorRT-LLM across on-premises, Kubernetes, and cloud environments.
★ 5,4K⑂ 604Python
Apache-2.0Q98
MCP et appels d’outils
lemonade-sdk/lemonade
Lemonade is an open-source local AI server that enables users to run optimized Large Language Models (LLMs), speech, and image generation models directly on their own GPUs and NPUs, providing a free and private alternative to cloud APIs.
★ 5,2K⑂ 436C++
Apache-2.0Q98
Agents et multi-agents
embabel/embabel-agent
Embabel is an open-source JVM framework for building strongly typed agentic applications that combine LLM interactions, regular code, tools, and domain models. It supports dynamic planning and can be used from Kotlin or Java.
★ 4,3K⑂ 417Kotlin
Apache-2.0Q98
MCP et appels d’outils
homeassistant-ai/ha-mcp
A comprehensive Model Context Protocol (MCP) server enabling AI assistants to interact with, configure, build, and debug Home Assistant smart home setups using natural language.
★ 4,3K⑂ 177Python
MITQ98
Agents et multi-agents
opencsgs/csghub
CSGHub is an open-source, on-premise platform for managing the full lifecycle of Large Language Model assets, including models, datasets, spaces, and code, offering functionality comparable to a private Hugging Face.
★ 4,2K⑂ 525Vue
Apache-2.0Q98
MCP et appels d’outils
oomol-lab/open-connector
An open-source authentication gateway that connects over 1,000 SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI interfaces.
★ 4,1K⑂ 311TypeScript
Apache-2.0Q98
Agents et multi-agents
openagents-org/openagents
An open-source platform providing a collaborative operating system for AI agents, enabling unified workspace management, multi-agent coordination, and network integration without vendor lock-in.
★ 4K⑂ 403TypeScript
Apache-2.0Q98
Inférence, déploiement et exécution
llm-d/llm-d
llm-d is an open-source serving stack that adds distributed orchestration, routing, cache management, autoscaling, and batch processing around model servers such as vLLM and SGLang. It targets high-scale production inference on Kubernetes and modern hardware accelerators.
★ 4K⑂ 649Shell
Apache-2.0Q98