# episoda-core-mcp

> episoda-core-mcp — lalithbuilds-episoda-core-mcp. Use this tool when you need to implement a zero-dependency cognitive memory server for AI coding assistants, solving problems of knowledge retention and recall through Ebbinghaus auto-decaying memory. It takes in git data as input and provides a server-based output, ideal for use cases involving Claude Desktop, Cursor, Windsurf, and Cline. This tool is particularly useful in contexts where AI coding assistants require efficient memory management to provide accurate and relevant suggestions.

Canonical page: https://skillsregistry.net/skills/lalithbuilds-episoda-core-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lalithbuilds-episoda-core-mcp

## Description

Zero-dependency local memory MCP server for AI coding agents using pure Python, SQLite FTS5, and offline persistent recall.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lalithbuilds/episoda-core-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": "lalithbuilds-episoda-core-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lalithbuilds-episoda-core-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lalithbuilds-episoda-core-mcp/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