awesome-langgraph

Development tool that uses LangGraph agents to aid coding workflow with natural language

Production-ready multi-agent starter kit with 6 patterns (Supervisor, Swarm, HITL, Structured Output, Research, RAG), 5 LLM providers, MCP integration, CLI scaffolder, and Fastify server

Agentic browser automation platform.

AI-powered patch diff analysis tool for automated code change review and security analysis

IPO analysis agent with PDF parsing and market data enrichment

VC due-diligence AI agent with debating sub-agents — a product analyst and market analyst argue opposing views before reaching a joint investment conclusion

Keep humans in control for important operations

Use agents where your team already works

Bring context and actions into agents through app integrations

Create and manage agents without writing code

Decision-making systems that use LLMs to determine which actions to take

Techniques for optimizing prompts and context management

Safety checks and policy enforcement for agent inputs, outputs, and tool usage

Approval workflows and interrupt-based human oversight for sensitive agent actions

Persistent memory that survives across sessions

Structured communication format between components

Offload and manage large context through filesystem tools

Add approval checkpoints for sensitive operations

Persist useful information across threads and sessions

Break large tasks into manageable steps and track progress

Deploy agents as production-ready Agent Servers

Measure and track application quality over time

Gain visibility into each step your application takes to debug faster and improve reliability

Iterate on prompts with built-in versioning and collaboration

Pause graph execution for human input, review, and intervention

Trace and debug graph execution with LangSmith