The agent engineering platform
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
S3 and PostgreSQL remote storage backends for LangChain Deep Agents, enabling persistent and distributed agent file systems.
DeepAgent 기반 Research(연구) Multi Agent System 구축 - Context Engineering
Task Planning and Tracking toolset for Pydantic AI agents, enabling hierarchical task management with subtasks, PostgreSQL storage for multi-tenancy, and an event system for webhooks and callbacks.
Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses
基于 LangChain1.0和DeepAgents的代码优化Agent
Autonomous multi-agent system for intelligent HDB resale search — combining geospatial analytics, MRT proximity, and price intelligence using DeepAgents, LangGraph, FastAPI, Gradio UI, and MCP Toolbox. Fully Dockerized with reproducible data ingestion pipelines.
፨ Deterministic, Swift‑native graph runtime for agent workflows.
Context Management processor for Pydantic AI agents, providing LLM-powered summarization or zero-cost sliding window trimming to handle infinite/long-running conversations without context overflow. Supports flexible triggers, safe cutoffs, and custom prompts for efficient AI apps.
OpenAnyWork is the flagship desktop workbench for deepagentsjs. It's more than just a chat window; it's a productivity tool for "deep agents." By integrating file system access, Docker isolation, the MCP protocol, and a powerful sub-agent system, OpenAnyWork enables AI to truly perform complex tasks on your computer.
Contract-driven architecture for building LangGraph agents with declarative node definitions, automatic graph construction, and hybrid rule/LLM-based routing.
Local-first multi-agent platform built on DeepAgents. Gateway, Agent Worker, and Web UI for orchestrating autonomous AI agents.
Self optimizing Deep Agents
LambChat 是一个基于 FastAPI + LangGraph 构建的生产级 AI Agent 系统。 它提供了一个类似 ChatGPT 的对话界面，支持流式输出、多租户隔离、RBAC 权限控制，并集成了 MCP（Model Context Protocol）和可扩展的 Skills 系统。后端采用 LangGraph 实现 Agent 编排，前端使用 React + Vite + TailwindCSS 构建
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