kriuchkov/tock — Tock is a powerful time tracking tool for the command line.

Description and use

**Brief Summary**
Tock is a command‑line time‑tracking utility written in Go that logs activities as plain‑text files and offers an interactive terminal UI for reviewing and managing those logs. The project is actively maintained, has a solid community presence (435 ★, recent commits), and can serve as a lightweight foundation for adding AI‑driven features such as RAG or autonomous agents.

**Value**

• **Fast, portable time tracking** – Plain‑text logs make integration with downstream pipelines trivial, and the terminal UI provides immediate visibility without leaving the shell.
• **AI‑ready extensibility** – Because the core logic is exposed via a clear CLI/SDK and the data format is simple, developers can quickly prototype AI functionalities (e.g., summarization, anomaly detection, or agent‑driven scheduling) on top of existing logs.
• **Low entry cost** – No heavyweight dependencies or proprietary services are required; the Go codebase is easy to audit and embed in custom tooling.

**Practical Adoption Path**

1. **Evaluate the CLI** – Install the binary (go install github.com/kriuchkov/tock@latest) and run a few manual tracking sessions to verify the UI and log format meet your workflow.
2. **Integrate via SDK/CLI** – Use the provided Go package or invoke the CLI from scripts to automatically record timestamps from CI jobs, ticketing systems, or custom bots.
3. **Layer AI features** – Build a thin service that reads the plaintext logs, feeds them to an LLM or vector store, and returns insights (e.g., daily summaries, predictive time allocation). Because the logs are line‑based, they map cleanly to prompt templates or embeddings.
4. **Deploy** – Package the binary in your container images or as a systemd service; the minimal runtime footprint (single Go binary) fits well in both developer workstations and production environments.

**Production Readiness**

• **Activity & community** – Recent commits (as of 2026‑06‑24), steady star growth, and a modest number of forks indicate an engaged user base.
• **Stability** – The core functionality (logging, UI) is mature and has few external dependencies, reducing surface‑area for runtime failures.
• **Security & licensing** – The repository uses an OSS‑compatible license, but a final security audit (dependency scanning, vulnerability disclosure policy) and confirmation of active maintainers are advisable before enterprise rollout.

Overall, Tock is a high‑readiness candidate for pilots that need reliable time‑tracking data and a straightforward platform for prototyping AI‑enhanced observability or productivity agents.

Problem

kriuchkov/tock helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Tock is a powerful time tracking tool for the command line. It saves activity logs as plaintext files and provides an interactive terminal UI for viewing your time.

Source