Perenna MCP server
A lightweight, Git-backed permanent memory for AI agents.
40 stars75 downloads/wk
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Perenna tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-21 · same rubric, same numbers if you re-run it
- Code scan22 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 12 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
What the publisher says
From the Perenna repository's README, as published. We do not edit it. Read it on GitHub
Perenna
<!-- mcp-name: io.github.scarletkc/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, loopback-only Streamable HTTP, and OAuth-protected remote HTTP
- 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
Why Perenna?
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.
Quickstart
Install with your AI agent
Paste this into Claude Code, Codex, ChatGPT Desktop, Cursor, or another coding agent with terminal and local MCP configuration access:
Open the following URL, read the complete instructions, and follow them to
install and connect Perenna:
https://raw.githubusercontent.com/scarletkc/Perenna/main/docs/guides/agent-installation.mdInstall a published release
Perenna requires Python 3.12+, Git, and uv.
Install Perenna
uv tool install perennaConfigure retrieval
Perenna needs a working Vexor embedding provider. For interactive provider selection and configuration, run:
uvx vexor initPerenna automatically reuses ~/.vexor/config.json. When using process-level configuration, make sure the MCP server receives VEXORCONFIGJSON plus VEXORAPIKEY 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:
uv tool install "perenna[local]"Vexor provider configuration covers remote and local setup. From the environment that starts the MCP client, verify the selected provider with:
uvx vexor doctorConnect a client
For the standalone setup, configure the MCP client to start:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add perenna -- uvx perenna
Perenna: common questions
- Is Perenna MCP server safe?
- Mostly: it is graded B (83/100). Read the Perenna safety report
- How do I install Perenna?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does Perenna need an API key?
- Yes. The registry entry asks for
VEXOR_API_KEY,VEXOR_REMOTE_RERANK_API_KEY. - Is Perenna maintained?
- The last commit was 12 days ago (2026-09-09). The latest release is v0.4.1.
- What can I use instead of Perenna?
- Servers from other publishers that do the same job: Palinode MCP server, Nexusmem MCP server and Agent Memory MCP server. Compare all Perenna alternatives.
Alternatives to Perenna
Same job from other publishers: the closest match first, then the best rated.
- PalinodeInspectable, correctable project memory in git-versioned Markdown for AI agents.not reviewedEstablishedC
- NexusmemLocal-first memory for AI coding agents: shell history with exit codes, git diffs, docs, MCP.not reviewedGrowingA
- Agent MemoryGit-native project memory for AI coding agents: Markdown source of truth, reviewable, secret-safe.not reviewedGrowingA
memgitGit for AI memory — version-controlled, searchable context that persists across sessionsnot reviewedGrowingB- BettermemoryMemory for coding agents, checked against the filesystem and git before it is believed.not reviewedGrowingA