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381 | 381 | - **[Marvin](https://github.com/PrefectHQ/marvin)**  - 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. |
382 | 382 |
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383 | 383 | - **[Burr](https://github.com/apache/burr)**  - Apache incubating framework for building stateful AI applications (chatbots, agents, simulations). Monitor, trace, persist, and execute on your own infrastructure with built-in UI and pluggable memory. Apache 2.0 licensed. |
| 384 | +- **[KaibanJS](https://github.com/kaiban-ai/KaibanJS)**  - JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach. Visual task board for AI agents with real-time collaboration features. MIT licensed. |
384 | 385 |
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385 | 386 | #### Multi-Agent Orchestration |
386 | 387 |
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393 | 394 | - **[OpenAI Agents SDK](https://github.com/openai/openai-agents-python)**  - Production-ready lightweight framework for multi-agent workflows. The evolution of Swarm with enhanced orchestration capabilities and enterprise-grade features. |
394 | 395 | - **[Paperclip](https://github.com/paperclipai/paperclip)**  - AI agent company and orchestration framework with 55K+ stars. MIT licensed. |
395 | 396 | - **[AgentScope](https://github.com/agentscope-ai/agentscope)**  - Alibaba's production-ready multi-agent framework with 23K+ stars. Features built-in MCP and A2A support, message hub for flexible orchestration, and AgentScope Runtime for production deployment. |
| 397 | +- **[mcp-agent](https://github.com/lastmile-ai/mcp-agent)**  - Build effective agents using Model Context Protocol and simple workflow patterns. Handles connection mechanics, LLM integration, and persistent state for production MCP-based agents. MIT licensed. |
396 | 398 | - **[Microsoft Agent Framework](https://github.com/microsoft/agent-framework)**  - Microsoft's official framework combining AutoGen's agent abstractions with Semantic Kernel's enterprise features. Supports Python and .NET with graph-based workflows. |
397 | 399 | - **[Agency Swarm](https://github.com/VRSEN/agency-swarm)**  - Reliable multi-agent orchestration framework built on top of the OpenAI Assistants API with organizational structure modeling. |
398 | 400 | - **[elizaOS](https://github.com/elizaOS/eliza)**  - Autonomous multi-agent framework for building and deploying AI-powered applications. Features Discord/Telegram/Farcaster connectors, RAG support, and a modern web dashboard. |
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438 | 440 | - **[Langflow](https://github.com/langflow-ai/langflow)**  - Visual low-code platform for agentic workflows. |
439 | 441 | - **[Dify](https://github.com/langgenius/dify)**  - Production-ready agentic workflow platform. |
440 | 442 | - **[OWL (camel-ai/owl)](https://github.com/camel-ai/owl)**  - Advanced multi-agent collaboration system. |
| 443 | +- **[gpt-researcher](https://github.com/assafelovic/gpt-researcher)**  - 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. |
441 | 444 | - **[AI-Scientist-v2 (SakanaAI)](https://github.com/SakanaAI/AI-Scientist-v2)**  - Workshop-level automated scientific discovery via agentic tree search. Generates novel research ideas, runs experiments, and writes papers. |
442 | 445 | - **[PraisonAI](https://github.com/MervinPraison/PraisonAI)**  - 24/7 AI employee team for automating complex challenges. Low-code multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers. |
443 | 446 | - **[Agent-S (Simular AI)](https://github.com/simular-ai/Agent-S)**  - Open agentic framework that uses computers like a human. SOTA on OSWorld benchmark (72.6%) for GUI automation and computer control. |
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