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Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no serv
Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.

AI agents forget everything between sessions. rememb gives them persistent memory — local, portable, and works with any agent.

Every dev using AI professionally hits this wall:
Session 1: "We're using PostgreSQL, auth at src/auth/, prefer async patterns."
Session 2: Agent starts from zero. You explain everything again.
Session 3: Same thing.
Existing solutions (Mem0, Zep, Letta) require servers, API keys, and cloud accounts.
You just want the agent to remember your project.
pip install rememb
Zero friction. No CLI commands. Native IDE integration.
1. Add to your IDE's MCP config:
{
"mcpServers": {
"rememb": {
"command": "rememb",
"args": ["mcp"]
}
}
}
2. Restart your IDE.
The agent now automatically reads memory at session start, writes when learning something new, and searches when needed.
rememb rules # Print generic rules for AI agents
Copy the output to your editor's rules file (.windsurfrules, .cursorrules, CLAUDE.md, etc.)
.rememb/
entries.json ← structured memory (project, actions, systems, user, context)
meta.json ← project metadata
A JSON file in your project. Your agent reads it at the start of every session.
User: "We're using PostgreSQL, auth at src/auth/, async patterns"
Agent: [rememb_write] → Saved
[New session]
Agent: [rememb_read] → Context loaded
Agent: "I see you're using PostgreSQL with auth at src/auth/..."
Search uses local semantic embeddings (no API, no cloud). Falls back to keyword search if embeddings aren't available.
| Section | What to store |
|---|---|
project |
Tech stack, architecture, goals |
actions |
What was done, decisions made |
systems |
Services, modules, integrations |
requests |
User preferences, recurring asks |
user |
Name, style, expertise, preferences |
context |
Anything else relevant |
rememb includes a full terminal UI built with Textual.
rememb # Open the TUI
Features:
/ to search across all entriesCtrl+N new, Ctrl+R refresh, / search, Q quitrememb # Open the TUI
rememb mcp # Start MCP server for AI agent integration
rememb --version, -v # Show version
rememb --help, -h # Show help
.rememb/ anywhere, it worksgit clone https://github.com/LuizEduPP/Rememb
cd rememb
pip install -e ".[dev]"
PRs welcome. Issues welcome. Stars welcome. 🌟
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"rememb": {
"command": "npx",
"args": []
}
}
}