The agent engineering platform. Available in TypeScript!
Build resilient language agents as graphs. Available in TypeScript!
Python & TypeScript agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
🚀 JoySafeter: An enterprise AI Agent Platform—Not just chatting. building、running、testing, and tracing autonomous Agent Teams with visual orchestration...
LambChat — A multi-tenant AI Agent Harness Platform. Skills + MCP dual-engine powered, built for scale and isolation. SSE real-time streaming, multi-modal document intelligence, JWT/RBAC enterprise security, and GitHub-connected Skill marketplace.
Learn GenAI and Agentic AI from Zero to Production
S3, PostgreSQL, Azure Blob, GCS, MongoDB, and Redis remote backends for LangChain Deep Agents
An open-source AI-powered frontend development platform built on DeepAgents and LangGraph. Generate complete React applications through natural language conversations.
Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware
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.
DeepAgent 기반 Research(연구) Multi Agent System 구축 - Context Engineering
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.
Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses
Claude Code's compaction engine, as a drop-in DeepAgents middleware
Anthropic's Advisor Strategy as a drop-in DeepAgents middleware
基于 LangChain1.0和DeepAgents的代码优化Agent
Deterministic graph runtime for agent workflows in Swift. Same input, same output, every time — golden-testable, checkpoint-resumable, and built entirely on Swift concurrency.
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