# episodai

> episodai — lalithbuilds-episodai. Use this tool when you need to accelerate cognitive memory for AI coding agents, such as Claude Desktop or Cursor, to enhance their development capabilities. Episodai solves problems related to slow coding and development by providing hardware-accelerated memory and synchronization with tools like Obsidian. It takes in AI coding inputs and outputs optimized code, ideal for use cases involving git version control and high-performance computing.

Canonical page: https://skillsregistry.net/skills/lalithbuilds-episodai  
JSON: https://api.skillsregistry.net/v1/skills/lalithbuilds-episodai

## Description

Sovereign local AI agent memory MCP server with SQLite WAL, hybrid retrieval, Obsidian workflows, HTTP bridge, and hardware-aware acceleration.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/episodai)

## 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-episodai"
    }
  }
}
```

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