Awesome Opensource Ai

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

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.

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

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.

Model interpretability and understanding for PyTorch

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

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc

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

Repository for skills to assist AI coding agents with .NET and C#

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Visualizer for pandas data structures

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

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

Framework for evaluating and improving agents

Agenta is a workspace where you and your team build agents and automations.

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.

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

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Reliable Multi-Agent Orchestration Framework

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

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.

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.

The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.

An open source extension that connects AI agents to computational notebooks in JupyterLab.

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

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Set of tools to assess and improve LLM security.

A nearly-live implementation of OpenAI's Whisper.

Machine Learning Pipelines for Kubeflow

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

A system for agentic LLM-powered data processing and ETL

ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.

OpenAgents - The collaboration OS for AI agents

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

Open-source multimodal retrieval engine (Morphik Core)

Fully customizable AI chatbot component for your website

Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).

Evaluation and Tracking for LLM Experiments and AI Agents

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.