# MegaMemory

> MegaMemory — 0xk3vin-megamemory. Use this tool when you need to efficiently manage and retrieve project knowledge for coding tasks, leveraging its semantic search and in-process embeddings to solve problems related to code understanding and reuse. It takes in git repositories and outputs relevant code snippets and project information through a web explorer interface. Ideal for use cases where coding agents require persistent access to project context and knowledge.

Canonical page: https://skillsregistry.net/skills/0xk3vin-megamemory  
JSON: https://api.skillsregistry.net/v1/skills/0xk3vin-megamemory

## Description

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/0xK3vin/MegaMemory)

## 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": "0xk3vin-megamemory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xk3vin-megamemory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xk3vin-megamemory/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