rememb cover

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

rememb chat demo

The problem

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.

Install

pip install rememb[mcp]        # Recommended — includes MCP server
pip install rememb             # CLI only
pip install rememb[mcp,semantic,pdf]  # All features

Quick Start

With MCP (recommended)

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.

Without MCP

rememb rules   # Print generic rules for AI agents

Copy the output to your editor's rules file (.windsurfrules, .cursorrules, CLAUDE.md, etc.)

How it works

.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.

Memory sections

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

CLI

rememb init                     # Initialize memory store
rememb write "text"             # Add entry (--section, --tags)
rememb read                     # List all entries (--section, --agent)
rememb search "query"           # Semantic/keyword search (--top)
rememb edit <id>                # Update entry (--content, --section, --tags)
rememb delete <id>              # Remove entry
rememb clear --yes              # Delete all entries
rememb import <folder>          # Import .md/.txt/.pdf files
rememb rules                    # Show generic rules for AI agents

Design

Local first — plain JSON file in your project
Portable — copy .rememb/ anywhere, it works
Agnostic — any agent, any IDE (MCP or CLI)
No lock-in — no servers, no API keys, no accounts

Contributing

git clone https://github.com/LuizEduPP/Rememb
cd rememb
pip install -e ".[dev]"

PRs welcome. Issues welcome. Stars welcome. 🌟

License

MIT

Install Server

A

security – no known vulnerabilities

A

license - permissive license

A

quality - A tier

How are these scores calculated?

Resources

GitHub Repository

Need Help?

Related Servers

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