nex-life-logger: Local Activity Tracker for OpenClaw Agents
nex-life-logger is a skill published to ClawHub that provides OpenClaw agents with memory of your computer activities. It's a background activity tracker that runs on your machine and enables agents to answer questions about what you've been doing.
Installation and Usage
Install with: npx clawhub install nex-life-logger
Once installed, you can ask your agent questions like:
- "What was I working on yesterday afternoon?"
- "Search my history for Docker"
- "What YouTube videos did I watch about machine learning?"
- "Show me my productivity summary for last week"
The agent calls the CLI under the hood, searches your local database, and answers naturally.
How It Works
A background collector polls every 30 seconds and reads:
- Browser history from Chrome, Edge, Brave, and Firefox
- Active window focus
- YouTube transcripts automatically fetched
Content goes through a productivity filter that only tracks AI, programming, design, and learning content while skipping politics, news, and entertainment. Chat apps and sensitive windows (password managers, banking) are excluded automatically.
All data stays local in a SQLite database located at ~/.life-logger/.
AI Features and Privacy
AI summaries are generated on a schedule:
- Daily at 11 PM
- Weekly on Sunday
- Monthly on the 1st
- Yearly on Jan 1
Each level summarizes the one below it, and you can also generate summaries on demand.
The tool works with any OpenAI-compatible API for AI features (Qwen, OpenAI, Groq, Ollama, etc.). Tracking, search, stats, and keyword commands work without any API key.
Privacy is a key feature: no cloud, no account, no telemetry. The developer built this because similar tools (Rewind, Recall) send data somewhere or lock users into platforms.
📖 Read the full source: r/openclaw
👀 See Also
LamBench: A Lambda Calculus Benchmark Suite for AI Coding Agents
LamBench is a benchmark suite evaluating AI agents on lambda calculus tasks, measuring intelligence, speed, and elegance. The v1 release includes problems and a matrix of scores.
Torrix: Self-Hosted LLM Observability Without Postgres or Redis
Torrix is a self-hosted LLM observability tool that runs as a single Docker container backed by SQLite. Install with docker compose up; logs LLM calls via HTTP proxy or SDK — tokens, cost, latency, full traces, PII masking, cost forecasting.
Building a Persistent AI Knowledge Infrastructure with OpenClaw
A developer built 'Brain'—a central knowledge service with local RAG, multi-agent coordination, and a typed plugin system—to solve the statelessness problem in AI setups. The system runs entirely on local hardware using Ollama, Postgres, MongoDB, Qdrant, and Memgraph.
OpenRoom: A Web-Based Desktop GUI for Visualizing AI Agent Skills
OpenRoom is a web-based desktop environment where AI agents operate, featuring real-time updates to system state like diaries and files during chat interactions, plus a livestream mode for multi-bot interaction.