AgentCrew
Enables teams to coordinate multiple AI models and tools within a single chat interface, reducing context switching and allowing specialized agents to handle…
Chat application with multi-agents system supports multi-models and MCP
- Ask Claude to write and debug code across multiple programming languages simultaneously
- Generate comprehensive documentation by having multiple AI agents review and enhance content
- Automate code reviews by assigning different agents to check security, performance, and style
Enables teams to coordinate multiple AI models and tools within a single chat interface, reducing context switching and allowing specialized agents to handle distinct coding tasks in parallel.
Development teams building complex features requiring code review, generation, and testing across multiple AI model capabilities simultaneously.
https://github.com/saigontechnology/AgentCrew
By saigontechnology
How to Get It
claude plugins install saigontechnology/AgentCrew
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 and debug code across multiple programming languages simultaneously
Trust Signals Auto-scanned
Community Pulse New
- Show HN: AgentCrew – a Markdown-first operating system for AI coding agents — Hacker News · 3 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): 212 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): 212 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.