Perenna
Active·★ 61·MIT·Updated 2026-09-09
Perenna provides a lightweight, Git-backed permanent memory solution for various AI agents, enabling them to share durable memories without vendor lock-in. It stores human-readable Markdown in a Git repository and uses a local Vexor index for retrieval, ensuring memory persistence across different agents and machines.
#AI Memory#Agent Tooling#Git-backed Storage#Vector Database#Self-hosted#Python#RAG System#Multi-agent
01
Features
01Git-backed permanent memory storage in human-readable Markdown.
02Local Vexor retrieval index that can always be rebuilt from Git.
03Support for various AI agents and MCP clients to share memory.
04Self-hosted with no account or proprietary cloud lock-in.
05Cross-process locking for multiple local agent processes.
02
Compatibility
Python
Runtime
Verified via docs
Git
Dependency
Verified via docs
uv
Package Manager
Verified via docs
AI Agents (MCP Clients)
Integration
Verified via docs
03
Quick start
1
$ uv tool install perenna
04
Use cases
↳Sharing durable memories across different AI agents like Claude Code, Codex, ChatGPT, and Cursor.
↳Self-hosting a private and controllable AI agent memory service.
↳Inspecting, editing, versioning, and backing up AI agent memories.
↳Ensuring AI agent memory persistence when switching between agents or machines.
05
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