Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.

Conversational AI coding agent that builds entire codebases from natural-language specs with one prompt.

Open-source AI software engineering agent that writes, edits, runs, and tests code autonomously in a sandboxed environment.

High-performance, model-agnostic Python framework for building, running, and managing production AI agents at scale.

OpenAI's lightweight Python framework for building multi-agent systems with handoffs, tracing, and guardrails.

Pioneering autonomous task-management AI that uses GPT-4 and vector memory to self-generate and prioritize tasks.

Princeton's autonomous agent that resolves real GitHub issues end-to-end using a custom agent-computer interface.

AI pair programming tool in your terminal — chat with LLMs to edit code across your entire git repository.

Open-source agentic software engineer that understands high-level instructions, plans steps, and writes full code solutions.

Open-source AI code assistant VS Code and JetBrains extension — autocomplete, chat, and edit with any LLM.

First multi-agent framework based on role-playing LLM societies; supports 20+ agent types, tool use, RAG, and multi-modal tasks.

Hugging Face's minimalist library for building agents that write and execute Python code as their primary action.

Microsoft's autonomous R&D agent for iterative hypothesis generation, experimentation, and quantitative research automation.

Apache-2.0 toolkit for training intelligent game agents using deep RL and imitation learning directly inside Unity game environments.

Connect AI agents to the web: Browser Use lets LLMs browse, interact, and extract from any website autonomously.

Apache-2.0 autonomous coding agent VS Code extension — plans, writes, runs, and debugs code end-to-end in your editor.

Role-based multi-agent orchestration framework — define a crew of AI agents with distinct roles, tools, and goals that collaborate autonomously.

Platform for building stateful AI agents with advanced memory that can learn and self-improve over time.

Microsoft's multi-agent conversation framework — build teams of LLM agents that converse, code, debate, and solve complex tasks together.

LLM-powered multiagent persona simulation for synthetic UX research, focus groups, and business scenario testing.

Autonomous AI research agent that searches the web and produces detailed, cited research reports in minutes.

Modular Python framework for building AI agents with chain-of-thought reasoning, tool use, memory, and structured workflows.

Stanford's LLM-powered knowledge curation agent that researches any topic and generates a full Wikipedia-style article.

AI4Finance Foundation's framework for training RL agents to trade stocks, crypto, and forex with backtesting, paper trading, and live execution support.