LiveAgent
Provides a local, self-contained AI agent runtime that engineering teams can customize and deploy without external dependencies, reducing latency and vendor …
A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!
- Ask Claude to analyze your codebase and suggest refactoring improvements automatically.
- Generate boilerplate code templates for new projects directly from the desktop client.
- Automate repetitive code review tasks by processing multiple files in batch mode.
Provides a local, self-contained AI agent runtime that engineering teams can customize and deploy without external dependencies, reducing latency and vendor lock-in for agent-based automation workflows.
Development teams building internal AI automation tools or experimenting with agentic workflows requiring full control over customization and data handling.
https://github.com/Stack-Cairn/LiveAgent
By Stack-Cairn
How to Get It
claude plugins install Stack-Cairn/LiveAgent
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:
Analyze my codebase and suggest refactoring improvements automatically
Trust Signals Auto-scanned
Community Pulse New
- LiveAgent: Over $250K monthly recurring revenue with a spin-off project — Hacker News · 87 pts
- Live agent face-off in CivBench: Claude Opus 4.6 vs. GPT-5.2 — Hacker News · 10 pts
- Ask HN: Live Agent Chat Recommendation — Hacker News · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,526 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
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): 1,526 GitHub stars; contributors unknown; last commit 0d ago; license MIT.