Agenvoy
Reduces deployment friction and vendor lock-in by providing a self-contained runtime where AI agents can safely develop, test, and iterate on tools without e…
Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.
- Ask Claude to write a new command-line tool and have Agenvoy automatically test it in sandbox.
- Generate a custom integration script that Agenvoy validates and fixes bugs before deployment.
- Automate tool creation workflows where Claude writes code and Agenvoy handles testing loops.
Reduces deployment friction and vendor lock-in by providing a self-contained runtime where AI agents can safely develop, test, and iterate on tools without external dependencies or infrastructure complexity.
Engineering teams building internal AI-powered development workflows and wanting local control over agent execution environments.
https://github.com/agenvoy/Agenvoy
By agenvoy
How to Get It
claude plugins install agenvoy/Agenvoy
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Write a new command-line tool and have Agenvoy automatically test it in sandbox
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- A personal agent with auto-generate tools based on what you need — Hacker News · 2 pts
- One command, dispatches multiple models to handle the task, with its strength — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 535 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 535 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.