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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.
Build effective AI agents with MCP and simple workflow patterns.
Lets reasoning models delegate sub-tasks to extend analysis and execution.
Build AI agent workflows and automate tasks using MCP-connected services.
Coordinate multiple AI agents on software projects with shared tasks and context.
Lets AI agents discover, register, and rate services in a decentralized directory.