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Open-source Python AgentOS and multi-agent framework, evolved from AutoGen, for building conversable agents, group chats, swarms, human-in-the-loop workflows, tool use, RAG, code execution, and provider-backed agent systems.

Open-source Python multi-agent framework for building agent societies, role-playing agents, stateful ChatAgent workflows, RAG agents, synthetic data generation, MCP-enabled use cases, and research-scale agent experiments.

MIT-licensed Agent Skills collection for context engineering, harness engineering, multi-agent architectures, filesystem context, memory systems, tool design, evaluation, hosted agents, and production agent operating loops for Claude Code, Cursor, Codex, and Open Plugins-compatible agent tools.

Visual low-code builder for AI agents, RAG apps, chatbots, agentic workflows, multi-agent systems, LangChain-based components, API-serving flows, and self-hosted deployments through npm, Docker, and cloud platforms.

Open-source Python multi-agent framework that assigns product manager, architect, project manager, engineer, and other software-company roles to LLM agents for natural-language programming, repo generation, data interpretation, research, debate, and custom agent workflows.

Official JavaScript and TypeScript framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, and sandbox agents.

Official Python framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, human-in-the-loop flows, and sandbox agents.

MIT-licensed Agent Skill for persistent file-based planning across Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Hermes Agent, OpenClaw, Kiro, and other SKILL.md-compatible coding agents, with task_plan.md, findings.md, progress.md, hooks, session recovery, attestation, and opt-in long-running run modes.

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

MCP server and CLI for Ruflo's multi-agent Claude Code and Codex workflow harness, exposing tools for swarms, agents, memory, hooks, daemons, plugins, federation, and project automation.

Open-source framework for building multi-agent AI applications, conversations, workflows, and autonomous systems.

Framework and platform for building multi-agent workflows, role-based agents, process automation, and AI crews.

Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.

JetBrains incubator Kotlin and JVM agent framework for building predictable, fault-tolerant AI agents with graph workflows, tools, MCP integration, memory, streaming, OpenTelemetry, Spring/Ktor integrations, and multiple LLM providers.

Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.

Multi-harness agentic plugin marketplace with 84 plugins, 192 agents, 156 skills, 102 commands, and 16 orchestrators for Claude Code, Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot from one Markdown source tree.

Apache-2.0 code-first toolkit for building, running, evaluating, and deploying AI agents, workflows, tools, sessions, and multi-agent systems.

Open-source SDK and runtime for building, running, and managing agent platforms with agents, teams, workflows, memory, knowledge, tools, MCP, and AgentOS.

Agent orchestration framework for building stateful, controllable, multi-step LLM and agent workflows.

Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.

MCP server for generating academic diagrams, statistical plots, figure packages, and visual evaluations from research context through PaperBanana's multi-agent illustration pipeline.