ide-agent-kit
Integrates AI coding agents into existing team infrastructure via webhooks and session management, reducing friction when delegating tasks to AI without rebu…
Let IDE AIs participate in team workflows. Webhook relay, tmux runner, append-only receipts.
- Automate code review notifications by relaying IDE events to team chat systems.
- Execute build and test commands in isolated tmux sessions without blocking development.
- Generate immutable audit logs of all agent actions for compliance and debugging.
Integrates AI coding agents into existing team infrastructure via webhooks and session management, reducing friction when delegating tasks to AI without rebuilding operational workflows.
DevOps engineers and platform teams managing CI/CD pipelines who need AI agents to participate in automated workflows.
https://github.com/ThinkOffApp/ide-agent-kit
By ThinkOffApp
How to Get It
claude plugins install ThinkOffApp/ide-agent-kit
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 notifications by relaying IDE events to team chat systems
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 43 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.
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): 43 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.