Deep Agents Memory & Filesystem
by langchain-ai
deep-agents-memory-&-filesystem — an installable skill for AI agents, published by langchain-ai/langchain-skills.
npx skills add https://github.com/langchain-ai/langchain-skills --skill 'Deep Agents Memory & Filesystem'More skills from langchain-ai
deepagents-thread-inspector
langchain-ai
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for…
deepagents-python-quickstart
langchain-ai
Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants…
deepagents-typescript-quickstart
langchain-ai
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user…
eval-engineering
langchain-ai
Iteratively inspect an agent repository and optional user-provided traces, interview the user, and create, run, and audit Harbor evals one at a time. Use for…
LangChain RAG Pipeline
langchain-ai
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI),…
LangChain Structured Output & HITL
langchain-ai
langchain-structured-output-&-hitl — an installable skill for AI agents, published by langchain-ai/langchain-skills.
LangSmith Datasets
langchain-ai
INVOKE THIS SKILL when creating evaluation datasets from trace OR uploading datasets to LangSmith OR querying datasets. Covers dataset types (final_response,…
langsmith-evaluator
langchain-ai
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2)…