ActVer
GitHub Actions version & SHA lookup for AI agents
ActVer launched on March 24, 2026.
What it does
AI coding agents like Claude Code and Cursor tend to use outdated GitHub Actions versions. Asking them to look up the latest results in multiple API calls, each requiring manual approval. ActVer returns the latest version and commit SHA for any GitHub Action via REST API, MCP server, or Web UI. It also comes with skills for SHA pinning, version upgrades, and security audits — just say "pin my actions" and it handles the rest. Free, no API key required.
Instantly check the latest version and commit SHA for any GitHub Action. Auto-updated hourly. Just search to get the latest version and full SHA instantly. Get versions directly from your workflow via Claude Code plugin or MCP server. Copy-paste ready supply chain protection. Get uses: owner/repo@sha formatfrom actver.dev
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Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
Freeact – A Lightweight Library for Code-Action Based Agents2025 · github.com · ▲122Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths. * Supports dynamic installation and utilization of Python packages at runtime * Agents learn from feedback and store successful code actions as…
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