📡 MCP Radar

scarletkc/Perenna

A lightweight, Git-backed permanent memory for AI agents.

34 stars
1 forks
Python
momentum ▲ 70.0
created 2026-08-21
on radar since 2026-08-24
star trend 18 → 34 since 2026-08-24
agent-memoryai-agentsai-memorygit-backedmcpmcp-servermodel-context-protocolself-hosted
View on GitHub ↗Homepage ↗

About Perenna

A lightweight, Git-backed permanent memory for AI agents. Claude Code, Codex, ChatGPT, Cursor, and other MCP clients can share durable memories without sharing a vendor account or conversation history.

- Separate MCP tools for reading, writing, and deleting memories - Local stdio and single-user OAuth-protected Streamable HTTP transports - Human-readable Markdown stored in an independent Git repository - Local Vexor retrieval index that can always be rebuilt from Git - Cross-process locking for multiple local agent processes

Your memory should follow you, not the agent you happen to be using.

Claude Code, Codex, Cursor, and ChatGPT keep memory in separate silos. Switch agents and your memory disappears. Switch machines and local memory stays behind.

Perenna gives them one shared, Git-backed memory. Local agents and ChatGPT can connect to the same self-hosted Perenna service, while every durable memory stays ordinary Markdown you can inspect, edit, version, and back up yourself.

Mem0's self-hosted stack is much heavier, while its hosted Free Plan currently allows customer content to be used for model training and product improvement.

Perenna is different by design: no account, no proprietary memory cloud, no lock-in. Just your memories, in your Git repository, on infrastructure you control.

Paste this into Claude Code, Codex, ChatGPT Desktop, Cursor, or another coding agent with terminal and local MCP configuration access:

From the project README.

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