Langflow
Visual low-code platform for agentic workflows
106 AI agents, frameworks, and multi-agent systems — from awesome-opensource-ai and community sources
Visual low-code platform for agentic workflows
Harness LLMs with multi-agent programming. Mature tool calling system based on Pydantic, supports hundreds of LLM providers including OpenAI and local servers. Built for robust agent behavior in real-world use cases. MIT licensed
Platform for building stateful agents with advanced memory that learn and self-improve over time
Memory-first coding harness designed for long-lived agents that learn from experience. Persistent agents with portable memory across models (Claude, GPT, Gemini, GLM, Kimi). CLI and desktop app for macOS, Windows, and Linux. Apache 2.0 licensed
Python framework for structured outputs and agentic AI workflows. Simplifies LLM interactions with type-safe interfaces, automatic schema generation, and built-in observability. From the creators of Prefect. Apache 2.0 licensed
TypeScript-first agent framework with built-in RAG, workflows, tool integrations, observability and observational memory
Universal memory layer for AI agents. Persistent, multi-session memory across models and environments
The Multi-Agent Framework: First AI Software Company. Assigns different roles to GPTs to form a collaborative software entity. Takes one-line requirements and outputs comprehensive software development artifacts including user stories, competitive analysis, requirements, data structures, APIs, and documents. ICLR 2024 oral presentation (top 1.2%). MIT licensed
Microsoft's official framework combining AutoGen's agent abstractions with Semantic Kernel's enterprise features. Supports Python and .NET with graph-based workflows
Minimal CLI coding agent by Mistral. Lightweight, fast, and designed for local development workflows
Powerful GUI agent family for autonomous mobile device control. Multimodal agent framework designed to operate smartphone apps through visual UI perception and reasoning. MIT licensed
Beautiful local-first coding agent running in your terminal. Built for privacy and control with support for multiple AI providers via OpenRouter
PHP Agentic Framework for building production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data. MIT licensed
Advanced multi-agent collaboration system
TypeScript-native multi-agent orchestration with multi-model teams and parallel execution. Automatically converts goals to task DAGs. MIT licensed
Asynchronous coding agent from the LangChain ecosystem for background software engineering tasks
Production-ready lightweight framework for multi-agent workflows. The evolution of Swarm with enhanced orchestration capabilities and enterprise-grade features
AI Agent Networks for Open Collaboration. Platform for building collaborative multi-agent systems with shared knowledge and distributed task execution. Apache 2.0 licensed
Terminal-native autonomous coding agent
Full-featured open-source AI software engineer
Open-source framework for building general AI agents. Modular agent architecture with planning, tool use, and autonomous task execution. 56k+ stars. MIT licensed
Structured outputs for LLMs. Guarantees valid JSON, regex-compliant text, and Pydantic model outputs during generation. Trusted by NVIDIA, Cohere, Hugging Face, and vLLM. Apache 2.0 licensed
AI agent company and orchestration framework with 55K+ stars. MIT licensed
Conversational control layer for customer-facing AI agents. Enterprise-grade context engineering framework optimized for consistent, compliant, and on-brand B2C and sensitive B2B interactions. Apache 2.0 licensed
Terminal coding agent with hash-anchored edits, LSP integration, subagents, MCP support, and package ecosystem
100-line minimalist LLM framework for building agent workflows. Lightweight, extensible architecture for tool use and autonomous task execution
24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers
AI prompt optimization tool with multi-round iterative improvements, dual-mode optimization for system and user prompts, and multi-model support. Available as web app, desktop app, Chrome extension, and Docker deployment. AGPL-3.0 licensed
Open-source tools for prompt testing and experimentation with support for LLMs and vector databases. Test prompt variants across multiple providers (OpenAI, LLaMA) and vector stores (Chroma, Weaviate, LanceDB). Apache 2.0 licensed
Task-based NLP engine with Pydantic structured outputs, built-in evaluation, and LiteLLM as the universal LLM backend. Think "scikit-learn for LLM-powered NLP". Apache 2.0 licensed
Type-safe AI agent framework from the creators of Pydantic. Model-agnostic with 20+ providers, built-in observability via Logfire, MCP/A2A protocol support, and YAML/JSON agent definitions. MIT licensed
Agent framework built on Qwen models featuring function calling, MCP support, code interpreter, RAG, and Chrome extension. Powers Qwen Chat with advanced tool use and planning capabilities. Apache 2.0 licensed
SDK for building and orchestrating AI agents and workflows across multiple programming languages
Open-source AI workspace for building, deploying, and orchestrating AI agents. Visual canvas with 1000+ integrations, multi-framework support (Agno, OpenAI, LangChain, Google ADK), and self-hosted or cloud deployment. Apache 2.0 licensed
Open-source browser API for AI agents and apps. Batteries-included browser sandbox for web automation without infrastructure worries. Apache 2.0 licensed
Model-driven approach to building AI agents in just a few lines of code. Multi-agent systems, autonomous agents, and streaming support with built-in MCP. Apache 2.0 licensed
Bleeding-edge enterprise multi-agent orchestration
Turns project work into isolated, autonomous implementation runs. Monitors work boards, spawns agents to handle tasks, and provides proof of work including CI status, PR reviews, and walkthrough videos. Engineering preview for managing work instead of supervising coding agents. Apache 2.0 licensed
Self-hostable internal app builder with AI app and agent workflows for operations teams
Self-hostable security automation platform for building agentic workflows across alerts, cases, and operations
Multi-agent framework for financial trading. Simulates professional trading firm operations with 6+ specialized agent roles, backtesting, risk management, and portfolio optimization. Built with LangGraph, supports multiple LLM providers
Software-engineering agent from ByteDance for autonomous coding tasks and repository-level development workflows
Open-source multimodal AI agent stack with native GUI agent capabilities. Desktop application bringing GUI agent and vision power to your computer, browser, and terminal. Apache 2.0 licensed
Agent framework for fintech and banking with built-in MCP support, guardrails, and tool server architecture
TypeScript-first AI agent engineering platform with memory, RAG, workflows, MCP integration, and voice support
Fast, flexible and portable structured generation engine. Default backend for vLLM, SGLang, TensorRT-LLM, and MLC-LLM with flexible grammar support and zero-overhead mask generation. Apache 2.0 licensed
Autonomous multi-agent framework for building and deploying AI-powered applications. Features Discord/Telegram/Farcaster connectors, RAG support, and a modern web dashboard
Autonomous agent that conducts deep online research on any topic. Generates comprehensive reports with citations by orchestrating web searches, content scraping, and synthesis. Apache 2.0 licensed