AgentHandover watches you work on your Mac and produces self-improving Skills -- playbooks that Claude Code, OpenClaw, Codex, and any AI agent follow exactly the way you would. Every execution makes them smarter.
Not static playbooks. Skills that get better every time an agent runs them. Success boosts confidence. Deviations become decision branches. Failures trigger corrections. Strategy, voice, guardrails, and confidence -- all from real observations and real executions.
Not a screen recorder with ChatGPT on top. Local VLM annotation, activity classification, semantic embedding, cross-session linking, behavioral synthesis, and voice analysis. All on your Mac.
Every observation is embedded into a local vector store. Semantic search, smart deduplication, and cross-session linking by meaning. Your voice profile strengthens over time. The more you work, the smarter it gets.
After enough observations, AgentHandover extracts the strategy, selection criteria, decision branches, guardrails, and timing patterns behind your actions. Skills contain understanding, not just steps.
When agents execute a Skill, they report back. Success boosts confidence. Deviations become decision branches. 3+ failures auto-demote. Skills don't just describe your work -- they learn from every run.
One command. Works with Claude Code, OpenClaw, Codex, Cursor, Windsurf, or anything that speaks MCP.
macOS only. Local by default. Apache 2.0 licensed.