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Give AI agents a persistent task tree for planning, tracking, and results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Conductor" yet — see the docs or source repo.
Use Conductor to create a hierarchical task tree for “refactoring the payment module,” split into requirements review, API design, coding, testing, and release. Record status, suggested owner, risks, and final results for each subtask.
A structured task tree with phases, subtask statuses, risk notes, and recorded results for ongoing execution.
Manage a “competitive AI assistant research” project with Conductor: create nodes for information gathering, feature comparison, pricing analysis, user review synthesis, and conclusion summary, then keep adding findings, failed attempts, and next steps under each node.
A continuously updated research task tree that clearly preserves process notes, failure reasons, and interim conclusions.
Use Conductor to build a task tree for a multi-step agent workflow including web search, data extraction, summary generation, and report output. Record errors and retry strategies on failure, and monitor overall progress through the web UI.
A task tree with execution progress, failure-handling logs, and archived results, supporting human monitoring and intervention.
Create, run, and analyze Conductor workflows using natural language.
List agents, run workflows, and enforce team AI governance policies.
Plan, validate, and track software projects with Conducted development rituals.
Expose a CognOS agent system as a JSON graph for full inspection.
Orchestrate multi-model agents, workflows, and deterministic validation for automation.
Orchestrate multi-agent workflows with durable state and replayable execution traces.