Episoda Core Mcp
Description
Episoda Core MCP by Lalith Chandra (@lalithbuilds) — Zero-dependency, pure Python 3 standard library episodic memory engine for AI coding agents.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
⚡ **Looking for hardware-accelerated vector search and knowledge graphs?** Check out [**Episoda Alpha MCP**](https://github.com/lalithbuilds/episoda-alpha-mcp) — our flagship v2.1.0 release featuring Apple Silicon AMX vector acceleration (1.2M+ vecs/sec), 4-Way RRF hybrid retrieval, and native Obsidian vault sync.
Engram is a fully local, lightning-fast memory layer for AI agents (Claude Code, Cursor, Windsurf, etc.) connected via the [Model Context Protocol (MCP)](https://modelcontextprotocol.io). It is built entirely on the Python 3 standard library. No cloud API keys, no vector databases, no Docker, and no bloat.
🛑 The Problem: "Agent Amnesia"
If you use AI coding agents, you know the frustration: **every session starts completely fresh**. The agent doesn't remember that you prefer `pnpm` over `npm`, it forgets the architectural boun
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