9 boosters for "langgraph" — open source, verified from GitHub, ready to install
You are a Dropbox specialist for the user's connected Dropbox account. Surface the tool's , , , and the you passed inside when the tool returned them. Never invent a field the tool did not return. Return only one JSON object (no markdown or prose outside it):
Deep Agents is a system prompt for building intelligent agent assistants with planning, filesystem, and sub-agent capabilities across Claude and other AI platforms. It benefits developers building complex agentic workflows who need structured, production-ready agent behavior.
DAOs that grant voting power = current token balance (not snapshot of past balance) are vulnerable: This is what happened to Beanstalk (April 2022, $182M loss) — attacker flash-borrowed Beanstalk gov tokens, voted to drain the treasury, repaid the loan. Same block. ERC20Votes lets users delegate. If
"description": "Agentic SOC Platform Claude Plugin", "description": "A comprehensive toolkit for operating the ASP platform, including features such as case management,SIEM Query.", "source": "./PLUGINS/ClaudeCode",
"name": "langchain-skills", "description": "Agent skills for building agents with LangChain, LangGraph, and Deep Agents", "name": "LangChain",
LC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
Agents merge language models with tools to build systems capable of reasoning about tasks, deciding which tools to suit the situation, and iteratively working toward solutions. The function provides a production-ready implementation. Agents follow a loop pattern: input flows to the model, which dec
Cursor rules for LangGraph multi-agent legal document processing workflows, providing architecture guidelines and patterns for orchestrating specialized legal analysis agents. Beneficial for developers building legal tech systems with LLM-based document workflows.
