#agents

The ElevenLabs Agents SDK for TypeScript.

The batteries-included agent harness.

The batteries included agent harness.

LiveKit real-time and server SDKs for Python

A lightweight, powerful framework for multi-agent workflows

🧱 easy fast local-first microVM runtime and library

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Evaluate and improve models and agents using environments

Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls.

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Typescript/React Library for AI Chat💬🚀

Squad: AI agent teams for any project

The SDK For Browser Agents

Опис репозиторію не опубліковано.

Beads - A memory upgrade for your coding agent

Build Real-Time Knowledge Graphs for AI Agents

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

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (58+ servers), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.

Vibe-Coding is easy. DevOps is hard. OpenCode & Git token-efficient AI agent automation for your app, business, and personal development. Opinionated tools, services, CLI & API stack for speed, security, and 24/7 results. Open-source first. SOTA everything. Try on your repos for money-making magic.

Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.

RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.