kiro-learn

Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, align…

AI & ML

Install Command

npx -y kiro-learn

Claude Desktop Config

{
  "mcpServers": {
    "kiro-learn": {
      "command": "npx",
      "args": [
        "-y",
        "kiro-learn"
      ]
    }
  }
}

kiro-learn is a community MCP server that connects AI assistants like Claude to continuous learning for kiro agent sessions on aws. passive tool-use capture, llm extraction, and synchronous context injection — inspired by claude-mem, align…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About kiro-learn

Overview

Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, aligned with Bedrock AgentCore Memory.

Topics

kiro, kiro-cli, aws, bedrock, agent, learning, continuous-learning, memory, agentcore, mcp, mcp-server, sqlite, fts5, ide, cli, passive-memory, session-memory, context-injection, rag, knowledge-base, claude-mem-alternative

Who Should Use kiro-learn?

1Chain AI models and pipelines through a unified MCP interface
2Let Claude orchestrate other AI tools and models
3Integrate embeddings, image generation, or speech APIs into your workflow
4Build multi-model workflows without writing custom integration code

How to Install kiro-learn

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
2Paste the install command above and press Enter — Node.js will download and run the server automatically.
3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.