cursor-mem 0.1.1

Persistent memory system for Cursor IDE — remembers context across sessions

cursor-mem

Persistent memory for Cursor IDE — automatically records session context and keeps memory across sessions.

中文说明 (README_CN.md)

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Features

• Cross-session memory: Remembers last session’s actions, edited files, and shell commands
• Zero-config: Works out of the box with rule-based compression; no API key required
• Optional AI summarization: Use any OpenAI-compatible API (e.g. free Gemini) for smarter summaries
• Full-text search: FTS5 search over observations and sessions
• MCP tools: Agent can query project history (memory_search, memory_timeline, memory_get)
• Web viewer: Browse memory stream in the browser with live updates
• Multi-project isolation: Separate memory per project

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Comparison with claude-mem

criterion	cursor-mem	claude-mem
Target	Cursor IDE only, native hooks	Claude Code first, Cursor via adapter
Stack	Python 3.10+, FastAPI, SQLite	TypeScript/Bun, Express, SQLite + ChromaDB
Setup	pip install cursor-mem → cursor-mem install	Clone, build, plugin/marketplace or Cursor standalone setup
Out-of-the-box	Works immediately with no API key (rule-based compression)	AI processing is central; free tier needs Gemini/OpenRouter config
Codebase size	~20 core modules, single package	600+ files, plugin + worker + skills
Context injection	.cursor/rules/cursor-mem.mdc (Cursor Rules)	Same for Cursor; Claude Code uses additionalContext
Search	SQLite FTS5 only (simple, no extra deps)	FTS5 + ChromaDB vector search (hybrid)
Dependencies	Python stdlib + FastAPI/Click/httpx	Node/Bun, Claude Agent SDK, ChromaDB, etc.

When to choose cursor-mem: You use Cursor only, want minimal setup and no required API key, and prefer a small Python codebase. When to choose claude-mem: You use Claude Code or want vector/semantic search, token economics, or the full plugin ecosystem.

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Quick start

# Install from PyPI
pip install cursor-mem

# One-shot setup (global; applies to all projects)
cursor-mem install --global

# Restart Cursor

From source (development):

pip install -e .
cursor-mem install --global

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How it works

User submits prompt → beforeSubmitPrompt hook
  → init session + inject history into .cursor/rules/cursor-mem.mdc

Agent runs → afterShellExecution / afterFileEdit / afterMCPExecution hooks
  → capture operations, compress, store in SQLite

Agent stops → stop hook
  → generate session summary + refresh context file for next session

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Commands

cursor-mem install [--global]   # Install hooks + start worker
cursor-mem start                # Start worker
cursor-mem stop                 # Stop worker
cursor-mem restart              # Restart worker
cursor-mem status               # Show status

cursor-mem config set <key> <val>   # Set config
cursor-mem config get [key]         # Show config

cursor-mem data stats             # Data stats
cursor-mem data projects          # List projects
cursor-mem data cleanup           # Clean old data
cursor-mem data export [file]     # Export data

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Optional AI summarization

# Gemini (free tier)
cursor-mem config set ai.enabled true
cursor-mem config set ai.base_url "https://generativelanguage.googleapis.com/v1beta/openai"
cursor-mem config set ai.api_key "your-gemini-api-key"
cursor-mem config set ai.model "gemini-2.0-flash"

# Or any OpenAI-compatible API
cursor-mem config set ai.base_url "https://api.openai.com/v1"
cursor-mem config set ai.api_key "sk-..."
cursor-mem config set ai.model "gpt-4o-mini"

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Web viewer

After install, open http://127.0.0.1:37800 for:

• Session list and details
• Observation timeline
• Full-text search
• Live SSE updates

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MCP tools

Registered in ~/.cursor/mcp.json on install:

• memory_search(query) — search history
• memory_timeline(session_id?) — timeline view
• memory_get(ids) — fetch observation details

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Project layout

cursor-mem/
├── cli.py           # CLI entry
├── installer.py     # Install logic
├── hook_handler.py  # Unified hook handler
├── config.py        # Config and paths
├── worker/          # FastAPI HTTP service
├── storage/         # SQLite layer
├── context/         # Context build and inject
├── summarizer/      # Rule-based + AI summarizer
├── mcp/             # MCP search tools
├── ui/              # Web viewer
├── pyproject.toml
└── README.md

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Testing

• Automated: pip install -e ".[dev]" then pytest tests/ -v
• In Cursor: See TESTING.md for manual test cases (hooks, MCP, worker, CLI).

License

This project is licensed under the Apache License 2.0. See LICENSE for the full text.

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Data locations

• Database: ~/.cursor-mem/cursor-mem.db
• Config: ~/.cursor-mem/config.json
• Logs: ~/.cursor-mem/logs/
• Injected context: <project>/.cursor/rules/cursor-mem.mdc