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Help AI agents think structurally and recover from stuck states with CBT.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CBT Agent Helper" yet — see the docs or source repo.
When an agent repeatedly fails or stalls during a multi-step task, use CBT Agent Helper to analyze the blockage, identify faulty assumptions, and produce an actionable next-step plan.
A structured diagnosis with root causes, cognitive distortions or faulty assumptions, and concrete steps to resume progress.
For this complex problem, use CBT Agent Helper for structured reasoning: break down the goal, examine assumptions, compare alternatives, and produce a more robust solution.
A clear reasoning summary including problem decomposition, assumption checks, option comparisons, and a recommended conclusion.
Before an agent executes an important decision, use CBT Agent Helper to review its reasoning chain and detect possible biases, missed risks, and overconfident judgments.
A pre-decision review highlighting risks, reasoning gaps, and improvement suggestions to support more reliable choices.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.
Build AI agent workflows and automate tasks using MCP-connected services.
Coordinate AI agents through negotiation for more efficient automated workflows.
Coordinate multiple AI agents on software projects with shared tasks and context.
Connect local AI coding agents for routing, debate, and efficient context sharing.