# CogMemory MCP Server

> CogMemory MCP Server — skylarng89-cogmemory-mcp. Use this tool when you need to manage and retain knowledge and context for AI coding agents, solving problems of decision recall, project knowledge loss, and code structure fragmentation. It provides a unified context system with memory, knowledge graph, specs, and code graph subsystems, accepting inputs of project data and code structures, and outputting persistent recall of decisions and conventions. Ideal for use in AI coding workflows requiring persistent knowledge retention and context awareness.

Canonical page: https://skillsregistry.net/skills/skylarng89-cogmemory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/skylarng89-cogmemory-mcp

## Description

Provides a unified context system for AI coding agents with memory, knowledge graph, specs, and code graph subsystems, all stored in SQLite. Enables persistent recall of decisions, conventions, errors, project knowledge, and code structure.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gfjxzqqwph)
- **Repository:** <https://github.com/skylarng89/cogmemory-mcp>

## 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": "skylarng89-cogmemory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skylarng89-cogmemory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skylarng89-cogmemory-mcp/pull`

---
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