# flaviocopes/work-tracebook > A native macOS app that collects reports from coding agents (Codex, Cursor, etc.) into a timeline by day and week, showing where your time went per project. Agents write one-line reports themselves via the factorylog CLI command. - Magnitude: 0.8 out of 10 — Steady - Stars: 65 total · +0 stars measured 2026-10-08, 00:11–08:49 UTC, ≈ 2 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Swift · License: MIT · Created: 2026-10-01 · Last push: 2026-10-08 - GitHub: https://github.com/flaviocopes/work-tracebook · Homepage: https://flaviocopes.com/work-tracebook/ · Page: https://gitnova.dev/en/r/flaviocopes/work-tracebook ## Useful for - Connect Codex or Cursor to factorylog to see what the agent did during the day. - Open the weekly timeline to see which projects consumed your time. - Set up a local Ollama model to get one-line recaps per project. ## Why it’s here - Star-counter measurements on 2026-10-08 (UTC), 00:11–08:49: 65 → 65 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +2 stars, using observed gains and the previous day. - The repository is 7 days old and already has 65 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 5 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v1.3.0 (2026-10-08) ## Stars per day, last 12 days (oldest → newest, today is partial) 2026-09-27 … 2026-10-08: 0, 0, 0, 0, 29, 23, 3, 1, 1, 3, 5, 0 ## Magnitude by day, last 5 days 10-04 0.8, 10-05 0.5, 10-06 0.6, 10-07 0.9, 10-08 0.9 ## More in this category 1. **morluto/rea** — 9.6 · Breakout · AI agents · TypeScript · +3,231 stars measured 2026-10-08, 00:01–08:34 UTC, ≈ 7,993 by evening A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project. Full card: https://gitnova.dev/en/r/morluto/rea.md 2. **docker/docker-agent** — 8.0 · Breakout · AI agents · Go · +276 stars measured 2026-10-08, 00:01–08:34 UTC, ≈ 657 by evening Docker CLI plugin for building and running AI agents from a declarative YAML config with tools, MCP servers, and multi-agent orchestration. Lets you assemble agent teams without writing code and share them via OCI registry. Full card: https://gitnova.dev/en/r/docker/docker-agent.md 3. **lexmount/moli** — 7.5 · Breakout · AI agents · Rust · +746 stars measured 2026-10-08, 00:01–08:34 UTC, ≈ 1,772 by evening Moli is a headless browser written in Rust for AI agents, combining a full browser runtime with on-demand layout and rendering to keep resource use low. It fetches and extracts web pages, searches the web, and automates browser tasks via… Full card: https://gitnova.dev/en/r/lexmount/moli.md 4. **thedotmack/claude-mem** — 7.0 · Breakout · AI agents · TypeScript · +256 stars measured 2026-10-08, 00:01–08:34 UTC, ≈ 672 by evening Persistent memory system for Claude Code and other agents: it captures agent actions via lifecycle hooks, compresses them into semantic summaries, and injects relevant context into future sessions. Full card: https://gitnova.dev/en/r/thedotmack/claude-mem.md 5. **nano-muse/nanoMuse** — 6.7 · Early signal · AI agents · Swift · +76 stars measured 2026-10-08, 00:02–08:34 UTC, ≈ 200 by evening Open-source personal AI agent for all your devices: performs tasks via shell, browser, MCP and screen control, remembers you and asks permission before irreversible actions. Runs on Android, iOS, desktop and browser, can be self-hosted. Full card: https://gitnova.dev/en/r/nano-muse/nanoMuse.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-08 08:52 UTC, updated every 30 minutes.