Multiagent Collection

◆

◆

◆

◆

🔮Psychic

★★★★★

“Langflow is a powerful tool for building and deploying AI-powered agents and workflows.”

◆

◆

◆

◆

🔮Psychic

★★★★★

“The agent engineering platform.”

◆

◆

◆

◆

🔮Psychic

★★★★★

“TradingAgents: Multi-Agents LLM Financial Trading Framework”

◆

◆

◆

◆

🔮Psychic

★★★★

“Build resilient agents.”

◆

◆

◆

◆

💎Aqua

★★★

“Open-source AI coworker, with memory”

◆

◆

◆

◆

💎Aqua

★★★

“AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework”

◆

◆

◆

◆

🔥Fire

★★★

“OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.”

◆

◆

◆

◆

🔮Psychic

★★

“An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.”

◆

◆

◆

◆

🔮Psychic

★★

“Your Agent Company”

◆

◆

◆

◆

⚡Thunder

★★

“Real-time transport layer for Java AI agents. Build once with @Agent — deliver over WebSocket, SSE, gRPC, and WebTransport/HTTP3. Talk MCP, A2A and AG-UI. ”

◆

◆

◆

◆

🔮Psychic

★★

“Build production-ready AI agents in both Python and Typescript.”

◆

◆

◆

◆

🔮Psychic

★★

“Modular AI runtime for robots”

◆

◆

◆

◆

🔮Psychic

★★

“✨ Build a machine learning model from a prompt”

◆

◆

◆

◆

🌊Water

★★

“Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.”

◆

◆

◆

◆

🔮Psychic

★★

“Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.”

◆

◆

◆

◆

📦Normal

★★

“Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents. ”

◆

◆

◆

◆

📦Normal

★★

“A compilation of the best multi-agent papers”

◆

◆

◆

◆

🔮Psychic

★★

“For your multi-agent needs”