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Combine structured reasoning and execution so agents can think, act, and trace decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent_mcp_thoughtflow" yet — see the docs or source repo.
Use ThoughtFlow to design a customer support agent workflow: break down the user issue, evaluate possible handling paths, choose one, then query the knowledge base, generate a reply, and output reasoning records and execution logs for each step.
A complete agent workflow result with thought branches, decision rationale, execution steps, and traceable logs.
Use ThoughtFlow to handle a 'new feature announcement' task: generate three communication strategies, compare risks and impact, commit to a final choice, then draft the announcement and organize follow-up tasks while preserving the full trace.
A full result containing option comparisons, the final decision, generated content, and execution trace.
Use ThoughtFlow to analyze a failed agent workflow, identify broken reasoning branches, incorrect commit steps, and execution failure causes, then provide improvement suggestions.
A debugging analysis report identifying failure points, root causes, and optimization recommendations.
Control agent workflows with stateful primitives and persisted execution facts.
Add agentic tools with iterative reasoning and tool use to apps
Enable AI agents to reason deliberately with reflection and searchable memory.
Run dependent or parallel agent tasks and return structured results in one call.
Build AI agent workflows and automate tasks using MCP-connected services.
Coordinate multiple AI agents on software projects with shared tasks and context.