Awesome Opensource Ai

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

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

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

Build production-ready AI agents in both Python and Typescript.

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

Scalable and efficient data transformation framework - backwards compatible with dbt.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

The Security Toolkit for LLM Interactions

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Inspect: A framework for large language model evaluations

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

Community maintained hardware plugin for vLLM on Ascend

An Open Standard for lineage metadata collection

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Mirage Persistent Kernel: Compiling LLMs into a MegaKernel

An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.

Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems.

Fully open data curation for reasoning models

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

Agentic RL Training at Scale

Scalable toolkit for efficient model reinforcement

Manages Unified Access to Generative AI Services built on Envoy Gateway

Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪

Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.

[CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents

Large-scale LLM inference engine

The good ol' Forge WebUI, now updated with new features~

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Fast Multimodal LLM on Mobile Devices

Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.

Self-Programming AI Agent Framework. Agents create and refine their own workflows.