AI & LLM Engineering · LangChain · For developers

Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.

mem0ai/mem0

Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.

ComposioHQ/awesome-claude-skills

Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.

GetBindu/Bindu

Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.

FailproofAI/failproofai

Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions.

TencentEdgeOne/edgeone-makers-tools

A skill your agent uses for anything involving the Synalinks neuro-symbolic LM framework (Keras-inspired): DataModel/Field/Input, JSON operators (+ & | ^ ~), synalinks.ops…

SynaLinks/synalinks-skills

Defines the typia product contract, workspace layout, package boundaries, and canonical commands.

samchon/typia

Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.

JuliusBrussee/caveman

Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.

omnigent-ai/omnigent

A Chinese-language guide and reference for building agents with LangGraph 1.0, from a first ReAct agent through middleware, memory, MCP, RAG and web search.

luochang212/dive-into-langgraph

Quick reference for wdoc, a command-line and Python tool that summarizes, searches and answers questions over documents of many file types.

thiswillbeyourgithub/wdoc

Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

wshobson/agents

Guide for upgrading Stripe API versions and SDKs. An agent skill from kanchengw/cnllm.

kanchengw/cnllm

Fans a list of independent items out to subagents in parallel, merges the results back into a table and supports retrying only the rows that failed.

langchain-ai/langchain-skills

Comprehensive guide for designing, refining, and auditing system prompts for autonomous AI agents based on Anthropic's production practices.

agentailor/fullstack-langgraph-nextjs-agent

Migrates Python LangChain Deep Agents applications to Pydantic AI and Pydantic AI Harness while preserving the application's observed behavior.

pydantic/pydantic-ai

Skill for compiling and writing release notes for langchain-azure packages.

langchain-ai/langchain-azure

Search 2500+ curated ChatGPT and LLM open-source repositories.

taishi-i/awesome-ChatGPT-repositories

Add, move, rename, or delete a page on the LangChain docs site.

langchain-ai/docs

按中国法规（网安法 / PIPL / 等保2.0 / 数据出境 / AI生成内容标识）审计一个 AI 项目的代码仓库，产出每条都带 文件:行 取证、经独立复核、经脚本校验的合规报告。当用户问「这个项目上线合不合规」「调用了 OpenAI/Claude 算不算数据出境」「要不要做 AI 标识」「帮我做合规自查/等保/PIPL 检查」时使用。Audit an AI project's…

jnMetaCode/shellward

A skill your agent uses when adding, debugging, or modifying LLMObs plugins for an LLM library in dd-trace-js.

DataDog/dd-trace-js

Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces.

Orchestra-Research/AI-Research-SKILLs

Local evidence debugger and trajectory-test toolkit for TypeScript AI agents.

rajudandigam/agent-inspect

Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.

langchain-ai/langchain-skills

Wires up an Airbyte connector for use in a PydanticAI, Claude SDK, or other agent.

airbytehq/airbyte-agent-sdk

Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution.

langchain-ai/docs

Reviews changes in the langchain-azure monorepo using package-specific knowledge of langchain-azure-ai, langchain-azure-compute, langchain-azure-cosmosdb, langchain-azure-postgresql…

langchain-ai/langchain-azure

Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK.

airbytehq/airbyte-agent-sdk

Migrate Python LangChain, LangGraph, or Deep Agents applications to Pydantic AI and, when the source uses harness features, Pydantic AI Harness.

pydantic/pydantic-ai

Design and verify tools that AI agents can actually use — for any framework or language (MCP servers, LangChain/LangGraph, function-calling, raw JSON schema; TypeScript, Python, or otherwise).

agentailor/fullstack-langgraph-nextjs-agent

A skill your agent uses when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify…

langchain-ai/docs

Guide developers through creating a custom generation pipeline plugin for AutoRAG-Research.

NomaDamas/AutoRAG-Research

Develop, test, and extend ChemGraph -- an agentic framework for automated molecular simulations using LLMs, LangGraph, ASE, and MCP servers

argonne-lcf/ChemGraph

How AI agents integrate with Magic Resume — read and safely edit a user's resumes through the native MCP server (@magic-resume/mcp).

Magic-Resume/Magic-Resume

Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.

soba-labs/langchain-agent-skills

Multi-agent orchestration framework for autonomous AI collaboration.

Orchestra-Research/AI-Research-SKILLs

Framework for building LLM-powered applications with agents, chains, and RAG.

Orchestra-Research/AI-Research-SKILLs

Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server.

Orchestra-Research/AI-Research-SKILLs

Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text.

Orchestra-Research/AI-Research-SKILLs

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code.

langchain-ai/skills-benchmarks

Developer notes for working inside the Opik Python SDK: layered design, async versus blocking calls, integration styles, batching and dependency rules.

comet-ml/opik

Decide which AI agent behaviors are worth an eval case, then write those cases — harness-, framework-, and language-agnostic.

agentailor/fullstack-langgraph-nextjs-agent

Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Helps define agent tools with a fail-closed pattern: one class holding name, schema, security flags and a validate, permission and call execution chain.

simbajigege/book2skills

Explains how to build agents with the Deep Agents framework: create_deep_agent, the built-in middleware, the harness, SKILL.md format and configuration options.

langchain-ai/langchain-skills

Guide to designing n8n AI agents: choosing between Agent, chain, classifier and extractor nodes, wiring model, memory, tools and parser, plus RAG and human review.

czlonkowski/n8n-skills

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project.

langchain-ai/skills-benchmarks

当用户需要编写LangChain或LangGraph相关代码时，提供基于示例代码的编码辅助，包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。

5zjk5/prompt-engineering