cezar
Reduces engineering cycle time by parallelizing code generation and review across multiple AI agents, enabling faster issue resolution and PR delivery withou…
Cezar is a parallel coding agents orchestrator. Type a task, pick a workflow and an agent — Claude Code, Codex or OpenCode, or a mix of them per step — and watch it work live: steps, tool calls ... or: fire and forget, PR will land and issue will be fixed. Run ot locally (Linux, Mac, WSL2) or on VPS!
- Orchestrate multiple coding agents to fix GitHub issues and auto-generate pull requests.
- Run parallel code generation workflows locally while monitoring agent steps and tool calls.
- Assign different AI agents to specific coding tasks within a single project workflow.
Reduces engineering cycle time by parallelizing code generation and review across multiple AI agents, enabling faster issue resolution and PR delivery without blocking on single-agent bottlenecks.
Engineering teams managing high-volume bug fixes and feature requests seeking to accelerate code delivery and reduce manual review overhead.
https://github.com/open-mercato/cezar
By open-mercato
How to Get It
claude plugins install open-mercato/cezar
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 orchestrate multiple coding agents to fix GitHub issues and auto-generate pull requests
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): 36 GitHub stars; contributors unknown; last commit 0d ago; license no license.
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 no license.