# repomemory

> Use this tool when you need to capture and recall coding session memory for AI agents, enabling cross-agent continuity and preventing repeated mistakes. It solves problems of duplicated efforts and errors by storing failures, decisions, and diffs, and provides inputs of coding session data and outputs of recalled memory for informed decision-making. Ideal for use in collaborative development environments where AI agents work together to write code.

Canonical page: https://skillsregistry.net/skills/lay4u-repomemory  
JSON: https://api.skillsregistry.net/v1/skills/lay4u-repomemory

## Description

MCP server that captures and recalls coding session memory (failures, decisions, diffs) for AI agents, enabling cross-agent continuity and preventing repeated mistakes.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bpw6yjamnz)
- **Repository:** <https://github.com/Lay4U/repomemory>

## 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": "lay4u-repomemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lay4u-repomemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lay4u-repomemory/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