# ChainAgents

> ChainAgents — aminmahpour-chainagents. Use this tool when you need to interact with a local LangChain DeepAgent for AI-driven tasks, leveraging a user-friendly Chainlit UI and dedicated CLI for streamlined input and output. It solves problems related to local AI model management and integration with version control systems like git. Ideal for development and testing environments where a self-contained AI setup is required.

Canonical page: https://skillsregistry.net/skills/aminmahpour-chainagents  
JSON: https://api.skillsregistry.net/v1/skills/aminmahpour-chainagents

## Description

This project runs a local-first LangChain DeepAgent behind a Chainlit UI and dedicated CLI.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/AminMahpour/ChainAgents)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aminmahpour-chainagents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aminmahpour-chainagents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aminmahpour-chainagents/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt