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Orchestrate long-running agent missions with continuous multi-agent improvement.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "zenith" yet — see the docs or source repo.
Use Zenith to create a long-running task for my repository: continuously monitor CI failures, dispatch agents to analyze logs, propose fixes, submit patches, and improve the next-step strategy after each round.
A multi-agent execution flow with failure analysis, fix patches, iterative strategy updates, and progress tracking.
Use Zenith to split this large refactoring effort into phases: scan the codebase for coupling points, then assign different agents to refactoring, test completion, risk checks, and change summaries, and keep progressing until acceptance criteria are met.
A continuously running orchestration plan that outputs phase plans, code changes, test results, and an acceptance summary.
With Zenith, turn a new feature request into a long-running mission: have multiple agents handle requirement breakdown, technical planning, implementation, regression testing, and daily summaries, while automatically adjusting priorities based on intermediate results.
A multi-agent workflow from requirement to delivery, including task breakdowns, implementation artifacts, test feedback, and progress reports.
Create, validate, and render deterministic .zen design docs to PNG or PDF.
Securely give AI remote MCP access to ZERNO briefs, tasks, and context.
Track six core habits across a 90-day mission and review progress.
Manage Zenkit collections and entries with natural language for faster organization.
Connect AI to Zenoti for appointments, guest management, services, and billing.
Provide persistent memory, task coordination, and session handoffs for AI coding agents.