🦜🔗 The platform for reliable agents.
Build resilient language agents as graphs.
Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.
Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware
Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses
DeepAgent 기반 Research(연구) Multi Agent System 구축 - Context Engineering
基于 LangChain1.0和DeepAgents的代码优化Agent
Todo/task planning toolset for pydantic-ai agents. Part of the pydantic-deep ecosystem.
Self optimizing Deep Agents
Contract-driven architecture for building LangGraph agents with declarative node definitions, automatic graph construction, and hybrid rule/LLM-based routing.
S3 and PostgreSQL remote storage backends for LangChain Deep Agents, enabling persistent and distributed agent file systems.
An AI-powered financial advisory system uses multi-agent architecture to provide comprehensive, personalized investment portfolio recommendations tailored to the Indian financial market.
🦜🤖 LangGraph Sandbox for multi-agent AI workflows — with LinkedIn lead collector, Airtable sync, web search 🔍, VS Code ⚡, and Docker 🐳 support.
🍽️ Discover personalized food tours with AI, leveraging DeepAgent technology and Google Maps for seamless planning and local insights.
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