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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Build AI Agents, Visually

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity. Local and Free Alternative to Claude Cowork.

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Democratizing Reinforcement Learning for LLMs

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

The form framework for coding agents

The open-source workspace for building and running AI agents. Build agents through chat, share them with your team, and run background agents on schedules or app events.

Optimizing inference proxy for LLMs

Maestro: Netflix’s Workflow Orchestrator

Local-first workflow engine for ops automation and AI-assisted operations. Open source and self-hostable: single binary, no DBMS. Define DAGs in declarative YAML. Built-in MCP server so AI agents can manage your DAGs.

A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows

Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.

Your autonomous engineering team in a CLI. Point Zeroshot at an issue, walk away, and return to production-grade code. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI.

AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.

A security scanner for your LLM agentic workflows

An Open-Source AI Writing Project.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

🚀 Universal SDK for building next-gen MCP servers

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas, Perplexity Comet, Dia and Microsoft CoPilot Edge Browser

Auditable workspaces for AI coding agents: sandboxed worktrees, programmable multi-agent orchestration, automated security checks, up to 95% less token waste, and persistent memory.