Recall
Uses Ollama as a local embedding provider to generate vector embeddings for memories, enabling semantic search without external API calls.
Uses OpenAI as an embedding provider to generate vector embeddings for memories, enabling semantic search and retrieval.
Stores and retrieves persistent memories in a Redis or Valkey instance, enabling cross-session memory for AI agents.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Recallremember that we chose Postgres for the auth service"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Recall ๐ง
Persistent cross-session memory for Claude and other AI agents. Survives context limits, session restarts, and compaction.
Store decisions, patterns, and knowledge once โ retrieve them automatically across every future conversation. No more repeating yourself. No more losing critical context when the window fills up.
Cloud vs. Self-Hosted
Recall comes in two flavours. Choose the one that fits your situation:
โ๏ธ recallmcp.com โ Managed SaaS (Recommended for most users)
Zero infrastructure. Sign up, get an API key, add one config block, done.
What you get | Detail |
No Redis required | Fully managed storage โ nothing to install or maintain |
Up in 2 minutes | One config block in Claude Desktop or Claude Code |
Team sharing | One Claude learns something, all others know instantly |
Enterprise security | AES-256-GCM encryption at rest, per-tenant key isolation |
Auto-consolidation | Automatically clusters and merges similar memories |
Cross-session workflows | Named threads that span multiple sessions |
7 embedding providers | Voyage AI, Cohere, OpenAI, Deepseek, Grok, Anthropic, Ollama |
Pricing | Free (500 memories) ยท Pro $4.99/mo (5K) ยท Team $9.99/mo (25K) |
{
"mcpServers": {
"recall": {
"url": "https://recallmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}โ Get started at recallmcp.com
๐ฅ๏ธ This Repository โ Self-Hosted (Redis or Valkey)
Run Recall entirely on your own infrastructure. Your data never leaves your servers.
What you get | Detail |
Full data ownership | Memories stored in your own Redis or Valkey instance |
No usage limits | No memory caps, no subscription required |
Air-gapped deployments | Works fully offline, no external API calls for storage |
Bring your own embeddings | Configure any of 7 providers, or use the Anthropic keyword fallback |
Open source | MIT licensed, fully auditable, fork-friendly |
Requires | Redis โฅ 6 or Valkey, Node.js โฅ 18, your own server/VPS |
Best for: developers who need full control, on-premise requirements, or who already run Redis infrastructure.
Related MCP server: Memsolus MCP Server
โ ๏ธ Security & Privacy Disclaimer
IMPORTANT: READ BEFORE USE
Recall stores conversation memories in either Redis or Valkey, which may contain sensitive information including:
Code snippets, API keys, credentials, and secrets discussed in conversations
Business logic, architecture decisions, and proprietary information
Personal data, team member names, and organizational details
Any other context shared with Claude during conversations
You are responsible for:
Redis/Valkey Security: Ensure your memory store is properly secured with authentication, TLS encryption, and network access controls
Data Ownership: Only use Redis/Valkey servers that YOU control or have explicit permission to use
Access Control: Understand who has access to your memory store and stored memories
Sensitive Data: Never store memories on shared/public instances if they contain sensitive information
Compliance: Ensure your use complies with your organization's data policies and relevant regulations (GDPR, CCPA, etc.)
Disclaimer of Liability:
THIS SOFTWARE IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. THE AUTHOR (JOSร AIROSA) IS NOT LIABLE FOR:
Data breaches, leaks, or unauthorized access to stored memories
Loss of data or corrupted memories
Compliance violations or regulatory issues
Any damages arising from the use or misuse of this software
By using Recall, you acknowledge that you understand these risks and accept full responsibility for:
Securing your Redis or Valkey infrastructure
Managing access to stored memories
Protecting sensitive information
Compliance with applicable laws and regulations
Best Practices:
Use dedicated Redis or Valkey instances with strong authentication
Enable TLS/SSL encryption (
rediss://) for remote connectionsRegularly audit stored memories for sensitive data
Implement access controls and firewall rules
Use separate databases for different security contexts
Consider data retention policies and periodic cleanup
Never share connection strings publicly
What is This?
Recall is a brain extension for Claude that stores memories persistently. It solves the context window problem by:
๐ Remembering directives, decisions, code patterns, and important information
๐ Retrieving relevant context automatically when you need it
๐ Persisting across sessions โ memories survive restarts and context compaction
๐๏ธ Organizing by workspace โ Project A memories don't pollute Project B
Recall Cloud (Easiest Setup)
No Redis setup required! Get started in 2 minutes with the managed cloud service.
1. Sign Up
Go to recallmcp.com and create a free account.
2. Get Your API Key
Sign in to your dashboard at recallmcp.com/dashboard
Go to API Keys section
Copy your API key (starts with
sk-recall-)
3. Configure Claude Desktop
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"recall": {
"url": "https://recallmcp.com/mcp",
"headers": {
"Authorization": "Bearer sk-recall-your-api-key-here"
}
}
}
}Note: Replace
sk-recall-your-api-key-herewith your actual API key from the dashboard.
4. Restart Claude Desktop
Quit and reopen Claude Desktop to load the MCP server.
5. Test It
Ask Claude:
"Store a memory that I prefer TypeScript for all projects"Then in a new conversation:
"What do you know about my coding preferences?"It remembers across all your devices!
Cloud Plans
Plan | Price | Memories | Features |
Free | $0/mo | 500 | 1 workspace, basic search |
Pro | $4.99/mo | 5,000 | 3 workspaces, API access, semantic search |
Team | $9.99/mo | 25,000 | Unlimited workspaces, shared memories |
Upgrade anytime at recallmcp.com/dashboard/billing
Claude Desktop Custom Connector (OAuth)
Alternative Setup: Claude Desktop supports native OAuth connections, so you don't need to edit config files manually.
1. Open Claude Desktop Settings
Open Claude Desktop
Click on your profile icon โ Settings
Go to Integrations โ Custom Connectors
2. Add Recall Connector
Click "Add custom connector" and enter:
Field | Value |
Name |
|
Remote MCP server URL |
|
OAuth Client ID |
|
OAuth Client Secret | (leave empty) |
3. Authenticate
Click Add to save the connector
Claude Desktop will open a browser window to recallmcp.com
Sign in with your Google or GitHub account
Grant access to connect your Recall account
4. Start Using Recall
Once authenticated, Recall tools are automatically available in Claude Desktop. Ask Claude:
"Store a memory that I prefer dark mode for all applications"Your memories sync across all sessions and devices!
Note: The OAuth connection refreshes automatically. If you see authentication errors, remove and re-add the connector.
Self-Hosted Setup (5 Minutes)
1. Prerequisites
Redis or Valkey running locally (
localhost:6379)Node.js 18 or higher
Claude Code or Claude Desktop
Option A: Local Redis
# macOS
brew install redis
brew services start redis
# Ubuntu/Debian
sudo apt-get install redis-server
sudo systemctl start redis
# Docker
docker run -d -p 6379:6379 redis:latestOption B: Local Valkey
# macOS
brew install valkey
brew services start valkey
# Docker
docker run -d -p 6379:6379 valkey/valkey:latestOption C: Cloud Redis (No local install needed)
Use a free Redis cloud service:
Upstash - Free tier with 500,000 commands/month
Redis Cloud - Free 30MB database
Railway - Free Redis with credit
Then use the provided connection URL in your config:
{
"env": {
"REDIS_URL": "rediss://default:password@your-redis-host.com:6379"
}
}Option D: Cloud Valkey (No local install needed)
Most cloud providers offer Valkey services with free or low-cost trials available:
AWS ElastiCache - Use free tier to try it out
AWS Free Tier - General AWS free tier options
2. Install
Option A: Using Claude CLI (Recommended)
npx @modelcontextprotocol/create-server @joseairosa/recallOr use the MCP command directly in your Claude configuration (no installation needed):
{
"mcpServers": {
"recall": {
"command": "npx",
"args": ["-y", "@joseairosa/recall"]
}
}
}Option B: Global installation
npm install -g @joseairosa/recallOption C: From source
git clone https://github.com/joseairosa/recall.git
cd recall
npm install
npm run build3. Configure Claude
Add to your Claude configuration file:
Claude Code (~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):
{
"mcpServers": {
"recall": {
"command": "recall",
"env": {
"REDIS_URL": "redis://localhost:6379",
"ANTHROPIC_API_KEY": "your-api-key-here"
}
}
}
}or for Valkey:
{
"mcpServers": {
"recall": {
"command": "recall",
"env": {
"BACKEND_TYPE":"valkey",
"VALKEY_HOST":"localhost",
"VALKEY_PORT":6379 ,
"ANTHROPIC_API_KEY": "your-api-key-here"
}
}
}
}Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"recall": {
"command": "npx",
"args": ["-y", "@joseairosa/recall"],
"env": {
"REDIS_URL": "redis://localhost:6379",
"ANTHROPIC_API_KEY": "your-api-key-here"
}
}
}
}or for Valkey:
{
"mcpServers": {
"recall": {
"command": "recall",
"env": {
"BACKEND_TYPE":"valkey",
"VALKEY_HOST":"localhost",
"VALKEY_PORT":6379 ,
"ANTHROPIC_API_KEY": "your-api-key-here"
}
}
}
}4. Restart Claude
Restart Claude Code or Claude Desktop to load the MCP server.
5. Verify It Works
Ask Claude:
"Store a memory that I prefer using TypeScript for all new projects"Then in a new conversation:
"What do you know about my coding preferences?"It remembers!
Claude Code Plugin (One-Liner Install)
Install the Recall plugin for Claude Code with a single command. This gives you enhanced commands, agents, and hooks for working with large files and RLM (Recursive Language Model) features.
Quick Install
curl -fsSL https://raw.githubusercontent.com/joseairosa/recall/main/scripts/install-plugin.sh | bashThis script will:
Download the Recall plugin to
~/.claude/plugins/recall-rlm/Configure the MCP server in
~/.claude/settings.jsonSupport updates (re-run the same command to update)
Create backups before updates
After Installation
Get your API key from recallmcp.com
Set the environment variable:
export RECALL_API_KEY=sk-recall-your-key-here # Add to your shell profile for persistence: echo 'export RECALL_API_KEY=sk-recall-your-key-here' >> ~/.zshrcRestart Claude Code to load the plugin
Plugin Features
The plugin adds:
Feature | Description |
| Load large files into RLM system for chunk-based analysis |
| Break tasks into subtasks with strategies (filter, chunk, recursive) |
| Check execution progress and results |
Hooks (automatic behaviors):
Context injection before each prompt
Large file detection (suggests RLM for >100KB files)
Session summarization reminders
Decision storage prompts
Self-Hosted Configuration
If you prefer Redis locally instead of Recall Cloud, edit ~/.claude/settings.json after installation:
{
"mcpServers": {
"recall": {
"command": "npx",
"args": ["-y", "@joseairosa/recall"],
"env": {
"REDIS_URL": "redis://localhost:6379"
}
}
}
}Update & Uninstall
# Update to latest version
curl -fsSL https://raw.githubusercontent.com/joseairosa/recall/main/scripts/install-plugin.sh | bash
# Uninstall
curl -fsSL https://raw.githubusercontent.com/joseairosa/recall/main/scripts/uninstall-plugin.sh | bashUpgrading
Automatic Updates (Recommended)
If you use npx -y @joseairosa/recall in your config, you automatically get the latest version on every Claude restart. No action needed! ๐
{
"mcpServers": {
"recall": {
"command": "npx",
"args": ["-y", "@joseairosa/recall"] // โ Always fetches latest
}
}
}Manual Updates
If using global installation:
# Update to latest version
npm update -g @joseairosa/recall
# Or install specific version
npm install -g @joseairosa/recall@1.3.0
# Check installed version
npm list -g @joseairosa/recallIf using from source:
cd recall
git pull origin main
npm install
npm run buildAfter updating:
Restart Claude Code or Claude Desktop
Verify new version: Ask Claude "What Recall version are you using?"
Check CHANGELOG.md for new features and breaking changes
Version-Specific Upgrades
Upgrading to v1.3.0:
No breaking changes, fully backward compatible
To use global memories: Add
WORKSPACE_MODE=hybridto your configSee Migration Guide below
How to Use
โ ๏ธ Best Practices: Avoid Context Bloat
Be selective with memory storage to keep Claude efficient.
Store HIGH-SIGNAL context:
โ Project preferences (coding style, tech stack, architecture patterns)
โ Critical decisions ("We chose PostgreSQL over MongoDB because...")
โ Important constraints (API limits, business rules, security requirements)
โ Learned patterns from bugs/solutions
Don't store LOW-SIGNAL content:
โ Code snippets (put those in files instead)
โ Obvious facts or general knowledge
โ Temporary context (only needed in current session)
โ Duplicates of what's in documentation
Keep memories concise:
โ Good: "API rate limit is 1000 req/min, prefer caching for frequent data"
โ Bad: "Here's the entire implementation of our caching layer: [50 lines of code]"
Remember: Recall is for high-level context, not a code repository. Quality over quantity keeps your context window efficient.
Store Important Information
Claude can automatically extract and store memories, or you can be explicit:
Natural language:
"Remember that our API base URL is https://api.example.com/v2""Store this as a directive: Always use functional components in React"What Claude does: Uses the store_memory tool to save this information with appropriate context type and importance.
Store globally (v1.3+):
"Remember globally: I prefer TypeScript strict mode for all projects""Store this as a global preference: Always use ULIDs for database IDs"What Claude does: Uses store_memory with is_global: true to make it accessible across all workspaces (requires WORKSPACE_MODE=hybrid or global).
Recall Context
Claude automatically retrieves relevant memories, but you can also ask:
"What do you remember about our database schema?""Recall any decisions we made about error handling"What Claude does: Uses recall_relevant_context or search_memories to find related information.
Analyze Conversations
Before context compaction, preserve important details:
"Analyze our conversation and remember the important parts"What Claude does: Uses analyze_and_remember to extract structured memories from the conversation.
Organize Sessions
Group related work:
"Summarize this session and save it as 'Authentication Refactoring'"What Claude does: Uses summarize_session to create a session snapshot with all relevant memories.
Get Time Window Context (v1.6+)
Retrieve all memories from a specific time period:
"Give me the context for the last 2 hours""Show me everything from the last 30 minutes, formatted as markdown""Get all high-importance memories from the last hour, grouped by type"What Claude does: Uses get_time_window_context to retrieve and format memories from the specified time window.
Options:
Time specification: hours, minutes, or explicit timestamps
Output formats: markdown (default), JSON, or plain text
Grouping: chronological, by type, by importance, or by tags
Filtering: minimum importance, specific context types
Example outputs:
Markdown: Clean formatted context ready to paste into documentation
JSON: Structured data for external processing
Text: Simple plain text summary
Perfect for building context files from work sessions or exporting specific time periods.
Convert Memories (v1.3+)
Promote workspace memory to global:
"Convert this memory to global: mem_abc123"What Claude does: Uses convert_to_global to move the memory from workspace-specific to globally accessible.
Convert back to workspace:
"Convert this global memory to workspace-specific: mem_xyz789"What Claude does: Uses convert_to_workspace to move the memory from global to current workspace.
Link Related Memories (v1.4+)
Create relationships between memories:
"Link these two memories: pattern mem_abc123 is an example of implementation mem_xyz789"What Claude does: Uses link_memories to create an example_of relationship between the memories.
Find related memories:
"Show me all memories related to mem_abc123"What Claude does: Uses get_related_memories to traverse the relationship graph and find connected memories.
Remove a relationship:
"Unlink relationship rel_123abc"What Claude does: Uses unlink_memories to remove the relationship while keeping both memories intact.
Version History & Rollback (v1.5+)
View version history:
"Show me the version history for memory mem_abc123"What Claude does: Uses get_memory_history to retrieve all versions with timestamps and change reasons.
Rollback to previous version:
"Rollback memory mem_abc123 to version ver_xyz789"What Claude does: Uses rollback_memory to restore the memory to the specified version while preserving relationships.
Memory Templates (v1.5+)
Create a template:
"Create a template for bug reports with fields: {{title}}, {{severity}}, {{steps}}"**
This server cannot be deployed
Maintenance
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