pypi perennastdioMITupdated 9d ago
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.
Perenna で何ができる?
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.md
Install a published release
Perenna requires Python 3.12+, Git, and uv.
Install Perenna
uv tool install perenna
Configure retrieval
Perenna needs a working Vexor embedding provider. For interactive provider selection and configuration, run:
uvx vexor init
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:
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 doctor
Connect a client
For the standalone setup, configure the MCP client to start:
perenna mcp
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:
perenna skill install --agent codex
# or
perenna skill install --agent claude-code
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.
Add optional Git synchronization
To import, publish, or fast-forward compatible history through a private Git repository, run:
perenna sync setup <repository-url>
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.
Install from source
git clone https://github.com/scarletkc/Perenna.git
cd Perenna
uv tool install .
Source contributors should use the locked environment in the development guide.
Documentation
Start with the documentation index, then follow the path for your task:
- Getting started
- Client setup
- Plugin setup
- Secure MCP Tunnel
- Self-hosting for ChatGPT
- Using permanent memory
perenna-memoryAgent Skill- Configuration reference
- Architecture
- Development guide
License
インストール
Perenna をクライアントに追加します。お使いのものを選んでください。
claude mcp add perenna -- uvx perennacodex mcp add perenna -- uvx perennaamp mcp add perenna -- uvx perenna{
"mcpServers": {
"perenna": {
"command": "uvx",
"args": [
"perenna"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"perenna": {
"command": "uvx",
"args": [
"perenna"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"perenna","command":"uvx","args":["perenna"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"perenna": {
"command": "uvx",
"args": [
"perenna"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"perenna": {
"command": "uvx",
"args": [
"perenna"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"perenna": {
"command": "uvx",
"args": [
"perenna"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"perenna": {
"type": "local",
"command": "uvx",
"args": [
"perenna"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"perenna": {
"command": {
"path": "uvx",
"args": [
"perenna"
]
}
}
}
}Add to your Zed `settings.json`.
uvx perennaRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
スコア
39 / 100
情報不足
- ドキュメント25/25
- メンテナンス25/25
- 信頼性13/20
- 機能0/15
- 導入のしやすさ12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 2 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
バージョン履歴
| バージョン | 公開日 |
|---|---|
| 0.4.1最新 | 2026年8月28日 |
| 0.4.0 | 2026年8月27日 |
| 0.3.0 | 2026年8月25日 |
| 0.2.0 | 2026年8月24日 |
| 0.1.3 | 2026年8月23日 |
| 0.1.2 | 2026年8月23日 |
| 0.1.1 | 2026年8月23日 |