rememb 0.1.9

Persistent memory standard for AI agents — local, portable, zero config

rememb

Persistent memory for AI agents — local, portable, zero config.

AI agents (Windsurf, Cursor, Claude, Continue) forget everything between sessions.
rememb gives them a structured memory that lives in your project, belongs to you, and works with any agent.

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The problem

Every developer using AI agents hits this wall:

Session 1: "We're using PostgreSQL, the auth module is 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, cloud accounts, and framework lock-in.
You just want the agent to remember your project.

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The solution

.rememb/
  entries.json   ← structured memory (project, actions, systems, user, context)
  meta.json      ← project metadata

That's it. A JSON file in your project. Your agent reads it at the start of every session.

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Install

pip install rememb

For semantic search support:

pip install rememb[semantic]

For PDF import support:

pip install rememb[pdf]

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Quickstart

# Memory is global by default (~/.rememb/) — no init needed
# Use --local to keep memory in the current project

# Write memories
rememb write "Project uses FastAPI + PostgreSQL + async patterns" --section project
rememb write "User prefers direct answers, no filler text" --section user
rememb write "Auth module lives at src/auth/, JWT-based" --section systems --tags auth,jwt

# Read everything (for the agent)
rememb read --agent

# Filter by section
rememb read --section project

# Search semantically
rememb search "authentication"
rememb search "authentication" --agent   # agent-friendly output

# Import files into memory
rememb import ~/notes/ --section context --dry-run   # preview first
rememb import ~/notes/ --section context             # then import
rememb import ~/notes/ --recursive --section context # include subfolders

# Edit and delete entries
rememb read --section actions                       # find the ID
rememb edit a1b2c3d4 --section systems              # move to another section
rememb edit a1b2c3d4 --content "Updated text"       # update content
rememb delete a1b2c3d4                              # delete (asks confirmation)
rememb delete a1b2c3d4 --yes                        # delete without confirmation

# Get ready-to-use rules for your editor
rememb rules          # list available editors
rememb rules windsurf
rememb rules cursor
rememb rules claude
rememb rules continue
rememb rules vscode

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Agent integration

Configure once. Works forever.

Run rememb rules <editor> to get the instructions for your editor, then paste them once. From that point on, your agent automatically reads and writes memory on every session.

rememb rules windsurf   # Windsurf / Cascade
rememb rules cursor     # Cursor
rememb rules claude     # Claude Code
rememb rules continue   # Continue.dev
rememb rules vscode     # VS Code + Copilot

Editor	Where to paste
Windsurf / Cascade	.windsurfrules at project root — or Settings → Cascade → Custom Instructions
Cursor	.cursorrules at project root — or Settings → Rules for AI
Claude Code	CLAUDE.md at project root (auto-read every session)
Continue.dev	config.json → models[].systemMessage
VS Code + Copilot	.github/copilot-instructions.md at project root (auto-read by Copilot)

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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

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Commands

rememb init              Initialize .rememb/ in current project
rememb write <text>      Write a memory entry (--section, --tags)
rememb read              Read all entries (--section, --agent, --raw)
rememb search <query>    Semantic search (falls back to keyword)
rememb delete <id>       Delete a memory entry by ID (--yes to skip confirmation)
rememb edit <id>         Edit a memory entry (--content, --section, --tags)
rememb import <folder>   Import .md/.txt/.pdf files into memory (--section, --recursive, --dry-run)
rememb rules [editor]    Print agent rules for windsurf/cursor/claude/continue/vscode

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How search works

rememb search uses sentence-transformers for semantic similarity search locally.
No API calls. No embeddings sent to the cloud. Falls back to keyword search if the model isn't available.

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Design principles

• Local first — everything is a JSON file in your project
• Portable — copy .rememb/ and it works anywhere
• Agnostic — works with any agent that can run CLI commands
• Zero config — pip install rememb && rememb init and you're done
• No lock-in — plain JSON, read it with anything

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Roadmap

Planned

• MCP server (rememb mcp) — native IDE integration, no CLI required
• rememb sync — sync ~/.rememb/ across machines via private git
• rememb web — local browser UI to manage memories visually
• VS Code / Windsurf extension
• rememb export — export memory to Markdown / Obsidian / Notion

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Contributing

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

PRs welcome. Issues welcome. Stars welcome. 🌟

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License

MIT