A lightweight, Git-backed permanent memory for AI agents.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
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.
Perenna stays focused on permanent memory: no required account, proprietary memory cloud, or automatic conversation extraction.
Paste this into Claude Code, Codex, ChatGPT Desktop, Cursor, or another coding agent with terminal and local MCP configuration access:
Perenna requires Python 3.12+, Git, and uv.
Perenna needs a working Vexor embedding provider. For interactive provider selection and configuration, run:
Perenna automatically reuses ~/.vexor/config.json. When using process-level
configuration, make sure the MCP server receives VEXOR_CONFIG_JSON plus
VEXOR_API_KEY or the selected provider's key from its host environment.
Remote providers receive memory text and search queries.
If you choose local embeddings, also install Perenna's local extra:
Vexor provider configuration covers remote and local setup. From the environment that starts the MCP client, verify the selected provider with:
For the standalone setup, configure the MCP client to start:
Follow the Client setup guide for the exact client command or configuration file.
Codex and Claude Code can also install the optional memory behavior Skill:
Repeat --agent in one command when both clients should receive the skill.
The configuration reference
documents user and project scope, destinations, and replacement safeguards.
Codex and Claude Code can instead install the combined Skill and MCP connection from Perenna's repository Marketplace. Follow the Plugin setup guide and choose one setup path per client.
Perenna creates its local data under ~/.perenna/ unless another home is
configured.
To import, publish, or fast-forward compatible history through a private Git repository, run:
Successful setup saves the selected remote in the Perenna home. Use
perenna sync disable to return to saved local-only mode without removing the
Git remote.
The configuration reference owns remote selection, credentials, conflict handling, and recovery details.
Source contributors should use the locked environment in the development guide.
Start with the documentation index, then follow the path for your task:
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