phren

phren

A persistent memory server for AI agents that stores findings, tasks, and patterns in Markdown files within a git repository, enabling context injection across multiple AI tools.

Category
Visit Server

README

<p align="center"><img src="docs/phren-transparent.png" width="180" alt="phren"></p>

<h3 align="center">Your agents forget everything. Phren doesn't.</h3>

<p align="center"> <a href="https://www.npmjs.com/package/@phren/cli"><img src="https://img.shields.io/npm/v/%40phren%2Fcli?style=flat&labelColor=0D0D0D&color=7C3AED" alt="npm version"></a> <a href="https://github.com/alaarab/phren/blob/main/LICENSE"><img src="https://img.shields.io/github/license/alaarab/phren?style=flat&labelColor=0D0D0D&color=7C3AED" alt="license"></a> <a href="https://alaarab.github.io/phren/"><img src="https://img.shields.io/badge/docs-alaarab.github.io%2Fphren-7C3AED?style=flat&labelColor=0D0D0D" alt="docs"></a> <a href="https://alaarab.github.io/phren/whitepaper.pdf"><img src="https://img.shields.io/badge/whitepaper-PDF-7C3AED?style=flat&labelColor=0D0D0D" alt="whitepaper"></a> </p>

<p align="center"> Persistent memory for AI agents. Findings, tasks, and patterns live in markdown files in a git repo you control. No database, no vendor lock-in. Works with Claude, Copilot, Cursor, and Codex. </p>


Install

npx @phren/cli init

One command. Sets up ~/.phren, wires up MCP for your tools, installs hooks. Next time you open a project, context starts flowing automatically. On a new machine? Re-run init and you're back in sync.


What actually happens

When you open a prompt:

  • Hooks extract keywords from your question
  • Phren searches findings across projects (FTS5 full-text with semantic fallback)
  • Relevant snippets inject into your prompt before you hit send
  • You ask; Claude already knows the gotchas

When you discover something:

  • phren add-finding <project> "finding text" captures it with optional tags ([decision], [pattern], [pitfall], [bug])
  • Trust scores decay over time; decisions never do; observations expire in 14 days
  • Findings link to fragments (named concepts like "auth" or "build") that connect knowledge across projects

Sessions:

  • Mark boundaries with session_start / session_end
  • Next session sees your prior summary, active tasks, recent findings, and where you left off
  • Checkpoints track edited files and failing tests so you can resume exactly where you stopped

Tasks:

  • Add with priority/section. Pin across sessions. Link to GitHub issues.
  • Track completions and cross-project rollups.

Key features

Fragment graph

Explore connections visually. Drag nodes to reorganize; graph auto-settles. Click a fragment to see every finding linked to it across all projects.

Finding lifecycle

  • Supersede: "Finding X is obsoleted by finding Y"
  • Retract: "We were wrong about this; here's why"
  • Contradict: "We have two findings that conflict; this is why"

Helps you reason about contradictions instead of hiding them.

Multi-agent support

Same store works with Claude Code, Copilot, Cursor, and Codex. Agents tag findings with their tool, so you see who discovered what.

Review queue

Mark findings as needing review ([Review] section). Phren surfaces review items on every session start. Approve, reject, or edit in place.

Governance & policies

Per-project retention policies. Confidence decay curves. Access control. Audit logs. Configure with phren config or the web UI.

Store subscriptions

Subscribe to specific projects in a team store — others stay hidden from search and context injection:

phren store subscribe team-store arc intranet
phren store unsubscribe team-store legacy-projects

Progressive disclosure

Enable PHREN_FEATURE_PROGRESSIVE_DISCLOSURE=1 to get compact memory indices instead of full snippets. Call get_memory_detail(id) to expand only what you need.

Semantic dedup & conflict detection

Optional: enable LLM-based duplicate detection and contradiction flagging on add_finding. Prevents near-duplicate entries and catches "always use X" vs "never use X" contradictions.

Skills & hooks

Drop custom slash commands into ~/.phren/global/skills/. Hooks run on user prompt, tool use, and session events — wire phren into your own workflows.


CLI quick reference

phren                                   Interactive memory shell
phren search <query>                    Full-text search with FTS5
phren add-finding <project> "insight"
phren task add <project> "item"         Add a task
phren session_start <project>           Start a session
phren store list                        List personal + team stores
phren team init <name> --remote <url>
phren team join <url>                   Join a team store
phren web-ui [--port 3499]              Launch the web UI
phren doctor                            Health check & auto-fix

See full CLI docs at alaarab.github.io/phren.


Team stores

Shared knowledge repos for teams. One person creates with phren team init, others join with phren team join. Findings, tasks, and skills sync across team members.

Each team store can be configured with per-project subscriptions so people only see what they care about.


Platforms

  • Claude Code (VS Code, Web, Desktop) — MCP hooks + CLI
  • Copilot (VS Code, GitHub.com) — MCP hooks
  • Cursor (IDE) — MCP hooks + built-in skill system
  • Codex (Claude Agent SDK) — MCP tools + hooks

All use the same phren store. No vendor lock-in.


Packages

Package Description
@phren/cli CLI, MCP server, data layer (54 tools, FTS5, hooks)
phren-vscode VS Code extension (sidebar, graph, onboarding)

MIT License. Made by Ala Arab.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured