Summary
Cross-platform memory layer that works across Claude Desktop, Cursor, Windsurf, Zed, and browser-based LLMs via Chrome extension. Exposes MCP tools for saving conversations, recalling memories through semantic search, and loading persistent identity context into new sessions. Includes living document primitives with append and replace modes, workflow automation, and a cognitive fingerprint system that frontloads who you are and what you're working on. Ships with a 30-second installer that handles Node setup and OAuth, or run it hosted via streamable-http if you don't want local processes. Free tier gives you 50 recalls per month with unlimited saves. Reach for this if you want conversational continuity across tools without manually copying context between sessions.
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Tools
Public tool metadata for what this MCP can expose to an agent.
11 tools
save_conversationSave complete conversations as living documents. REQUIRED: Send COMPLETE conversation in 'conversationContent' parameter (minimum 100 chars, should be thousands). Include EVERY message verbatim - NO summaries or partial content. Intelligently tracks context, extracts project d...5 params
Save complete conversations as living documents. REQUIRED: Send COMPLETE conversation in 'conversationContent' parameter (minimum 100 chars, should be thousands). Include EVERY message verbatim - NO summaries or partial content. Intelligently tracks context, extracts project d...
Parameters* required
tagsarrayTags for categorization
titlestringTitle for this conversation memorydefault: Conversation 2026-03-23T00:47:35.459Z
prioritystringPriority level for this memoryone of
low · medium · highdefault: mediumconversationIdstringOptional unique identifier for living document pattern. If provided and memory exists with this conversationId, UPDATES that memory instead of creating new one. Use for maintaining single memory per conversation that updates over time.
conversationContentstringCOMPLETE conversation transcript - minimum 500 characters expected. Include EVERYTHING discussed.
recall_memoriesSearch and retrieve saved memories with intelligent semantic ranking. 🎯 BASIC SEARCH: recall_memories(query="authentication") → Returns all memories about authentication, ranked by semantic relevance 🔍 FILTERED SEARCH (Phase 2 Knowledge Graph Intelligence): Use filters when...10 params
Search and retrieve saved memories with intelligent semantic ranking. 🎯 BASIC SEARCH: recall_memories(query="authentication") → Returns all memories about authentication, ranked by semantic relevance 🔍 FILTERED SEARCH (Phase 2 Knowledge Graph Intelligence): Use filters when...
Parameters* required
limitintegerMaximum number of memories to returndefault: 10
querystringSearch query - can be keywords, topics, or specific content
entitystringFilter by entity name (people, projects, technologies). Use when user asks about a specific person, project, or technology by name. Example: entity="Alice" finds only memories mentioning Alice. More precise than semantic search. Supports partial matching.
intentstringFilter by conversation intent/purpose. Options: "decision" (decisions made), "learning" (knowledge gained), "question" (open questions), "blocker" (obstacles/issues). Use when user asks specifically for one of these types. Example: intent="decision" finds only conversations where decisions were made. Exact match only.
deadlinestringFilter by deadline date from conversation context (YYYY-MM-DD format). Use when user asks about time-sensitive memories or specific deadlines. Example: deadline="2025-03-31" finds memories with March 31, 2025 deadline. Exact match only.
initiativestringFilter by initiative/project name from conversation context. Use when user scopes search to specific project or goal. Example: initiative="Q1 OKRs" finds only Q1-related memories. Supports partial matching (ILIKE).
stakeholderstringFilter by stakeholder (person or team) from conversation context. Use when user asks about specific person's or team's involvement. Example: stakeholder="Engineering Team" finds memories where Engineering Team was mentioned as stakeholder. Supports partial matching (ILIKE).
contentPreviewbooleanInclude content preview in resultsdefault: true
includeChunkedbooleanInclude chunked/multi-part conversations in resultsdefault: true
has_observationsbooleanFilter by conversation quality based on extracted observations (atomic facts). Set to true to find substantial, structured conversations with extracted knowledge (high-quality technical discussions, detailed planning). Set to false for lightweight chats. Omit to return all memories regardless of observation count. Use when user asks for "detailed", "substantial", or "in-depth" information.
get_memory_detailsGet complete details of a specific memory, including all linked parts if chunked2 params
Get complete details of a specific memory, including all linked parts if chunked
Parameters* required
memoryIdstringID of the memory to retrieve
includeLinkedPartsbooleanInclude all linked parts if this is a chunked memorydefault: true
discover_related_conversationsCROSS-PLATFORM DISCOVERY: Find related conversations across ALL AI platforms. Uses Purmemo's semantic clustering to automatically discover conversations about similar topics, regardless of which AI platform was used (ChatGPT, Claude Desktop, Gemini, etc). WHAT THIS DOES: - Sea...3 params
CROSS-PLATFORM DISCOVERY: Find related conversations across ALL AI platforms. Uses Purmemo's semantic clustering to automatically discover conversations about similar topics, regardless of which AI platform was used (ChatGPT, Claude Desktop, Gemini, etc). WHAT THIS DOES: - Sea...
Parameters* required
limitintegerMaximum number of initial search results (will find related for each)default: 10
querystringNatural language query for discovering related conversations across platforms
relatedPerMemoryintegerMaximum related conversations to find per resultdefault: 5
get_user_contextGet the current user's cognitive identity and active session context. Call this at the START of a conversation to understand who you're talking to — their role, expertise, current project, and recent memory themes. This is the core of Purmemo's identity layer: once set in the...
Get the current user's cognitive identity and active session context. Call this at the START of a conversation to understand who you're talking to — their role, expertise, current project, and recent memory themes. This is the core of Purmemo's identity layer: once set in the...
No parameter schema in public metadata yet.
run_workflowRun a Purmemo workflow — structured, memory-powered processes for product, engineering, business, and operations tasks. Your relevant memories and identity are automatically loaded to personalize every workflow. WHEN TO USE THIS TOOL: - User wants to write a PRD, debug an issu...2 params
Run a Purmemo workflow — structured, memory-powered processes for product, engineering, business, and operations tasks. Your relevant memories and identity are automatically loaded to personalize every workflow. WHEN TO USE THIS TOOL: - User wants to write a PRD, debug an issu...
Parameters* required
inputstringWhat you want to accomplish, the problem to solve, or context for the workflow.
workflowstringWorkflow name (e.g., "prd", "debug", "sprint"). Use list_workflows to see all available options including custom workflows. Optional — if omitted, auto-routes from input.
list_workflowsList all available Purmemo workflows — structured, memory-powered processes you can run. WHEN TO USE THIS TOOL: - User asks "what can you help me with?" or "what workflows do you have?" - User wants to see available capabilities before choosing one - User says "show me what's...1 params
List all available Purmemo workflows — structured, memory-powered processes you can run. WHEN TO USE THIS TOOL: - User asks "what can you help me with?" or "what workflows do you have?" - User wants to see available capabilities before choosing one - User says "show me what's...
Parameters* required
categorystringOptional filter by category. Omit to see all workflows.one of
product · strategy · engineering · business · operations · contentshare_memorySet the visibility of a memory you own. VISIBILITY LEVELS: - private: Only you can see it (default) - unlisted: Anyone with the direct link can view it - public: Discoverable in the community tab by all users WHEN TO USE: - User says "share this memory" or "make this public" -...2 params
Set the visibility of a memory you own. VISIBILITY LEVELS: - private: Only you can see it (default) - unlisted: Anyone with the direct link can view it - public: Discoverable in the community tab by all users WHEN TO USE: - User says "share this memory" or "make this public" -...
Parameters* required
memory_idstringUUID of the memory to share
visibilitystringTarget visibility levelone of
private · unlisted · publicrecall_publicSearch public memories shared by all Purmemo users. This is the community knowledge base. WHEN TO USE: - User asks "what have other people saved about X?" - User wants to explore community knowledge - User asks to search public/shared memories - Looking for solutions others ha...5 params
Search public memories shared by all Purmemo users. This is the community knowledge base. WHEN TO USE: - User asks "what have other people saved about X?" - User wants to explore community knowledge - User asks to search public/shared memories - Looking for solutions others ha...
Parameters* required
tagstringFilter by tag
pagenumberPage number (default 1)
sortstringSort order: recent (newest first) or popular (most recalled first)one of
recent · popularquerystringSearch query for semantic search across public memories
platformstringFilter by source platform (chatgpt, claude, gemini, etc.)
get_public_memoryRetrieve the FULL content of a public or unlisted memory by ID. WHEN TO USE: - After recall_public returns a preview and you need the complete content - When a user wants to read or implement from a shared community memory - When you have a public memory ID and need the full t...1 params
Retrieve the FULL content of a public or unlisted memory by ID. WHEN TO USE: - After recall_public returns a preview and you need the complete content - When a user wants to read or implement from a shared community memory - When you have a public memory ID and need the full t...
Parameters* required
memory_idstringUUID of the public memory to retrieve in full
report_memoryReport a public memory for inappropriate content. WHEN TO USE: - User encounters spam, misleading, or inappropriate public content - User wants to flag content that contains personal information REASONS: spam, inappropriate, misleading, personal_info, other After 3 reports, a...3 params
Report a public memory for inappropriate content. WHEN TO USE: - User encounters spam, misleading, or inappropriate public content - User wants to flag content that contains personal information REASONS: spam, inappropriate, misleading, personal_info, other After 3 reports, a...
Parameters* required
reasonstringReason for reportingone of
spam · inappropriate · misleading · personal_info · othermemory_idstringUUID of the public memory to report
descriptionstringOptional additional details about the report
pūrmemo
Memory for your AI tools. Claude remembers who you are, what you're working on, and what you said last time — across every session, on every platform.
Just want it in ChatGPT or Claude.ai in your browser? Get the Chrome Extension instead.
Install in 30 seconds
1. Paste this into your terminal
Mac or Linux:
curl -fsSL https://app.purmemo.ai/install | sh
Windows (PowerShell):
irm https://app.purmemo.ai/install.ps1 | iex
That's it for installing. The script handles everything — it'll install Node if you don't have it, set up the purmemo command, and tell you when it's done.
2. Type purmemo
purmemo
Your browser opens. Sign in (or create a free account). Close the tab when it says you're done.
3. Restart Claude
Quit and reopen Claude Desktop (or Claude Code). pūrmemo is now connected.
You'll know it worked when your next Claude session opens with a header like:
pūrmemo v15.7.20 · you@example.com · Free · 0 memories
Try saying "save this" at the end of a conversation, or "what was I working on?" at the start of a new one.
If something goes wrong
purmemo command not found? Close and reopen your terminal, then try again. New commands sometimes need a fresh shell.
You see "Failed to read token" or "bad decrypt"? Run:
purmemo --update && purmemo init
This clears any stale credentials and signs you back in. (Fixed in v15.7.20+ — if you're on an older version, this is a one-time thing.)
Anything else? Open an issue at github.com/purmemo-ai/purmemo-mcp/issues — we read every one.
What it does
- Remembers everything — save any conversation, recall it later by typing what you remember about it.
- Knows who you are — your role, your projects, your stack — loaded automatically into every new session.
- Works everywhere — Claude Code, Claude Desktop, Cursor, Windsurf, Zed, anything that speaks MCP.
Three slash commands you'll use most:
| You type | What happens |
|---|---|
/save | Saves this conversation. Use the same title later → updates the same memory. |
/recall <topic> | Search your memories in plain English. |
/context | At the start of a session — loads who you are and what you were last working on. |
Other ways to install
I already have Node.js
npm install -g purmemo-mcp && purmemo
Or, run it once without installing globally:
npx purmemo-mcp@latest init
Claude Desktop — hosted (recommended, no setup)
Open Claude Desktop → Settings → Developer → Edit Config and add:
{
"mcpServers": {
"purmemo": {
"url": "https://mcp.purmemo.ai/mcp/messages",
"transport": "streamable-http"
}
}
}
Restart Claude Desktop. You'll be prompted to sign in via OAuth on first use.
Claude Desktop — local (advanced)
Get your API key from app.purmemo.ai → Settings → API Keys, then edit:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"purmemo": {
"command": "npx",
"args": ["-y", "purmemo-mcp"],
"env": { "PURMEMO_API_KEY": "your-api-key-here" }
}
}
}
Restart Claude Desktop after saving.
Cursor / Windsurf / Zed
Cursor — edit ~/.cursor/mcp.json:
{ "mcpServers": { "purmemo": { "command": "npx", "args": ["-y", "purmemo-mcp"], "env": { "PURMEMO_API_KEY": "your-api-key" } } } }
Windsurf — edit ~/.codeium/windsurf/mcp_config.json (same shape as above).
Zed — edit ~/.config/zed/settings.json, add under context_servers:
{ "context_servers": { "purmemo": { "command": { "path": "npx", "args": ["-y", "purmemo-mcp"], "env": { "PURMEMO_API_KEY": "your-api-key" } } } } }
Pricing
| Plan | Price | Recalls | Saves |
|---|---|---|---|
| Free | $0 | 50/month | Unlimited |
| Pro | $19/month | Unlimited | Unlimited |
For developers
Looking for the technical stuff? It's all here:
- Tools, resources, prompts reference — every MCP tool the server exposes (
save_conversation,recall_memories,commit,snapshot,run_workflow, etc.) - Living document semantics —
mode='append'vsmode='replace', chunking behavior, ADR-036/038 details. - Identity layer — the cognitive fingerprint that loads into every session.
- Architecture decisions (ADRs) — every design decision, with context and trade-offs.
- Source for the install scripts — read before running, if you want.
Links
- Dashboard — view and manage memories
- Chrome Extension — for ChatGPT, Claude.ai, Gemini in browser
- Privacy Policy — encrypted in transit and at rest, never shared
- Support / Issues
License
The MCP connector code in this repo is MIT licensed. The pūrmemo platform, API, and backend are proprietary.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Categories
Registryactive
Packagepurmemo-mcp
TransportSTDIO
UpdatedMar 8, 2026
