Awesome Opensource Ai

结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

Open-source scientific and technical publishing system built on Pandoc.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Democratizing Reinforcement Learning for LLMs

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Optimize prompts, code, and more with AI-powered Reflective Text Evolution

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

🐢 Open-Source Evaluation & Testing library for LLM Agents

lakeFS - Data version control for your data lake | Git for data

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

Astronomy and astrophysics core library

Probabilistic time series modeling in Python

Ecommerce Search and Discovery - marqo.ai

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

A blazing fast inference solution for text embeddings models

AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Lightning ⚡️ fast forecasting with statistical and econometric models.

Minimal CLI coding agent by Mistral

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Reliable Multi-Agent Orchestration Framework

A light-weight, flexible, and expressive statistical data testing library

Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Harness LLMs with Multi-Agent Programming

A system for agentic LLM-powered data processing and ETL

Next Generation Agentic Proxy for AI Agents and MCP servers

Generative models for conditional audio generation

Simple, safe way to store and distribute tensors

Open-source security automation platform for teams and AI agents

Superfast AI decision making and intelligent processing of multi-modal data.

The best OSS video generation models, created by Genmo

A library for mechanistic interpretability of GPT-style language models

Open-source multimodal retrieval engine (Morphik Core). By Morphik — AI back office for skilled nursing & senior living (morphik.ai).

Quickly and accurately render even the largest data.

Evaluation and Tracking for LLM Experiments and AI Agents

II-Agent: a new open-source framework to build and deploy intelligent agents

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

Framework for evaluating and improving agents

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

A framework for prompt tuning using Intent-based Prompt Calibration