Mem0 Platform SDK
mem0ai/mem0
Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.
Build LLM applications with LangChain and LangGraph. An agent skill from hoodini/ai-agents-skills.
Install Langchain
$ npx skills add hoodini/ai-agents-skills --skill langchain -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hoodini/ai-agents-skills langchain --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/langchain .claude/skills/langchain && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .claude/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchainType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hoodini/ai-agents-skills --skill langchain -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hoodini/ai-agents-skills langchain --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/langchain .agents/skills/langchain && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .agents/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hoodini/ai-agents-skills --skill langchain -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hoodini/ai-agents-skills langchain --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/langchain .cursor/skills/langchain && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .cursor/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hoodini/ai-agents-skills.git --path skills/langchain--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hoodini/ai-agents-skills --skill langchain -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hoodini/ai-agents-skills langchain --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/langchain .gemini/skills/langchain && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .gemini/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hoodini/ai-agents-skills langchainInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hoodini/ai-agents-skills --skill langchain -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/langchain .github/skills/langchain && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .github/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hoodini/ai-agents-skills --skill langchain -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hoodini/ai-agents-skills langchain --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hoodini/ai-agents-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/langchain .opencode/skills/langchain && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langchain" agent skill from https://github.com/hoodini/ai-agents-skills/tree/master/skills/langchain into .opencode/skills/langchain/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langchain", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langchain- GitHub stars
- 282
- Token cost
- ~1.2k tokens
- SKILL.md length
- 49 words
- Files
- 1
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- None found
At a glance
Build LLM applications with LangChain and LangGraph. An agent skill from hoodini/ai-agents-skills.
- Creating RAG pipelines
- SKILL.md covers Quick Start, LCEL (LangChain Expression…, RAG Pipeline and LangGraph Agent, plus 5 more sections
- Calls pip; needs LANGCHAIN_API_KEY
- Agent workflows
What it does
Langchain is an agent skill from hoodini/ai-agents-skills. Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Building AI agents. It works with LangChain and LangGraph. The repository describes itself as: 🧠 AI Agent Skills Repository - A curated collection of specialized skills for AI coding agents (Claude Code, GitHub Copilot, Cursor, Windsurf). Created by Yuval Avidani using…
When your agent uses it
- Creating RAG pipelines
- Agent workflows
- Complex LLM orchestration
Example prompts
- “/langchain”
Requirements
- Python 3
- A credential in LANGCHAIN_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit f7a43d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
smith.langchain.compython.langchain.comlangchain-ai.github.iogithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LANGCHAIN_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Langchain loads about 1.2k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 49 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 49 words (~1,227 tokens).
“Build sophisticated LLM applications with composable chains and agent graphs.”
- name
- langchain
Files
Just SKILL.md in skills/langchain of hoodini/ai-agents-skills.
Open the folder on GitHubat commit f7a43d8
Compare with similar skills
Langchain next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Langchain this skillhoodini/ai-agents-skills | 282 | — | ~1.2k | Automated safety check: Pass | None | |
| Mem0 Platform SDKmem0ai/mem0 | 67k | 1 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 8 repos | ~2.7k | Automated safety check: Pass | None | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Edgeone Makers MigrationTencentEdgeOne/edgeone-makers-tools | 1.9k | 1 repos | ~4.1k | Automated safety check: Pass | MIT |
Similar skills
LangSmith Trace Debugging
ComposioHQ/awesome-claude-skills
Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.
Add Example Agent
GetBindu/Bindu
Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.
Failproof AI SDK Integration
FailproofAI/failproofai
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.
Edgeone Makers Migration
TencentEdgeOne/edgeone-makers-tools
Migrate existing AI agent projects (LangChain, LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI) to EdgeOne Makers platform conventions.
Omnigent Framework Detection
omnigent-ai/omnigent
Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.
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Related
Categories
Questions about Langchain
What does Langchain do?
Build LLM applications with LangChain and LangGraph. An agent skill from hoodini/ai-agents-skills. Langchain is an agent skill from hoodini/ai-agents-skills. Build LLM applications with LangChain and LangGraph.
When should I use Langchain?
Langchain fits situations like: creating RAG pipelines; agent workflows; complex LLM orchestration.
How do I install Langchain in Claude Code?
Run `npx skills add hoodini/ai-agents-skills --skill langchain -a claude-code`. Or copy the skill folder (skills/langchain in hoodini/ai-agents-skills) into .claude/skills/langchain in your project. Claude Code loads it when a task matches its description.
How do I install Langchain in Codex?
Run `npx skills add hoodini/ai-agents-skills --skill langchain -a codex`. Or copy the skill folder (skills/langchain in hoodini/ai-agents-skills) into .agents/skills/langchain in your project. Codex loads it when a task matches its description.
Can I use Langchain in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hoodini/ai-agents-skills --skill langchain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langchain, .gemini/skills/langchain, .github/skills/langchain and .opencode/skills/langchain in your project.
What does Langchain need to run?
Going by SKILL.md and its folder, Langchain needs the command-line tools its instructions call (pip) and credentials named LANGCHAIN_API_KEY. Our summary lists: Python 3; A credential in LANGCHAIN_API_KEY.
Does Langchain access the network?
SKILL.md names 4 domains. As links in the text: smith.langchain.com, python.langchain.com, langchain-ai.github.io and github.com. This is read from the text; nothing was executed.
Is Langchain safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Langchain use?
No licence was found for Langchain or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Langchain use?
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Langchain?
Skills that share tags, products or a category with Langchain: Mem0 Platform SDK (mem0ai/mem0, 67k stars), LangSmith Trace Debugging (ComposioHQ/awesome-claude-skills, 77k stars), Add Example Agent (GetBindu/Bindu, 10k stars) and Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Langchain?
hoodini (a GitHub user) maintains it in hoodini/ai-agents-skills, which has 282 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on July 11, 2026.
Source: hoodini/ai-agents-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.