#887 · Primary category: AI Agents & Automation

AgentHandover

What if OpenClaw, Claude Code, Codex etc. knew how to do your work without you saying it? AgentHandover observes you, learns and teaches your agents with self-improving skills.

Project last updated:06/08/26

GitHub Stars

698

Forks

56

Contributors

1

License

Apache-2.0

Why we included this project

AgentHandover is a local-first macOS app that records how you work and turns those routines into reusable Skills for AI agents. You do a task once while the app watches, and it captures not just the steps but the reasoning behind them, including your strategy, selection criteria, guardrails, and writing voice. Those Skills connect to agents like Claude Code, Codex, or OpenClaw with a single command, and because agents report back after every run, the Skills keep improving on their own. A local knowledge base with vector search lets agents find the right workflow by meaning rather than by title. It's a good fit for anyone on a Mac who runs repetitive research, support triage, community engagement, or ops checklists and wants their agents to inherit the judgment behind the routine, not just the sequence.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category