Open Source
Explore the latest AI open-source projects from GitHub and HuggingFace.
Explore the latest AI open-source projects from GitHub and HuggingFace.
Explore the latest AI open-source projects from GitHub and HuggingFace. Discover projects across categories like LLM, Vision, Audio, and more.
760 projects
topoteretes
Open-source knowledge engine for AI agent memory combining vector search and graph databases — enables persistent, cross-session agent context in 6 lines of code.
NVlabs
NVIDIA's unified open-source platform for humanoid robot control — includes SONIC generalist whole-body controller trained on 288h of human motion data and decoupled WBC models from GR00T N1.5/N1.6.
nv-tlabs
NVIDIA's open generative 3D world models: Lyra 1.0 for feed-forward scene reconstruction and Lyra 2.0 for explorable long-horizon 3D environments using Gaussian splatting.
openai
Official Python framework for multi-agent workflows with handoffs, sandbox execution, guardrails, and tracing — supports 100+ LLM backends beyond OpenAI.
microsoft
npm-style dependency management for AI agents — declare skills, prompts, plugins, and MCP servers in a single apm.yml manifest for reproducible, shareable agent configurations.
tensorzero
Open-source LLMOps platform unifying LLM gateway, observability, evaluation, optimization, and experimentation — built in Rust for sub-1ms p99 latency with 15+ provider support.
z-lab
DFlash accelerates LLM inference through block diffusion-based speculative decoding, supporting vLLM, SGLang, Hugging Face Transformers, and MLX backends across NVIDIA and Apple Silicon hardware.
aaif-goose
Open-source AI agent by Block/AAIF that installs, executes, edits, and tests with any LLM across macOS, Linux, and Windows with 70+ MCP extensions.
HKUDS
Ultra-lightweight personal AI agent by HKUDS with 99% less code than comparable systems, supporting 13 messaging platforms and multi-provider LLMs via MIT license.
Polymarket
Open-source developer framework for building AI trading agents on Polymarket prediction markets, featuring RAG pipelines, multi-source data aggregation, sentiment analysis, and automated trade execution.
huggingface
Hugging Face's barebones agent library where agents write Python code as actions — 30% fewer steps than JSON agents, ~1,000-line auditable core, 100+ LLMs via LiteLLM.
atilaahmettaner
MCP server bringing real-time market data, 30+ technical indicators, 6 backtesting strategies, Reddit sentiment analysis, and multi-exchange crypto screening directly into Claude Desktop and compatible AI clients.