curie
Enables teams to deploy AI agents without vendor lock-in, running identical workloads locally and in production via familiar git workflows, reducing operatio…
Open-source, self-hostable delivery platform for Claude Code style agents. Connect Slack today, with more channels next. Run the same bundle locally and on Kubernetes, and ship it with git push.
- Automate code review workflows by posting Claude agent outputs directly to Slack channels
- Deploy infrastructure changes through git push without managing separate CI/CD configuration files
- Run the same AI agent bundle locally for testing, then on Kubernetes for production use
Enables teams to deploy AI agents without vendor lock-in, running identical workloads locally and in production via familiar git workflows, reducing operational complexity and cost.
DevOps and platform teams building internal AI automation that requires self-hosted control and Kubernetes scalability.
https://github.com/curie-eng/curie
By curie-eng
How to Get It
claude plugins install curie-eng/curie
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:
Help me automate code review workflows by posting Claude agent outputs directly to Slack channels
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News
- Curie – ship Claude Code agents to Kubernetes with Git push — Hacker News · 8 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 36 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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.
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): 36 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.