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Provide callable workflow rails for agents with bounded execution and paid receipts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.CodeWever/wever-labs" yet — see the docs or source repo.
Design a wever-labs-based workflow for an AI agent that can run a data sync task only within a fixed budget and step limit, while recording status and authority references at each step.
A bounded workflow plan with budget limits, step controls, status logging, and authority reference design.
Use wever-labs to generate a movement-fee quote for an automated processing task and create the related payment authority reference for authorized execution.
Returns the task fee quote, payment authority reference, and key parameters for later execution.
Call wever-labs to execute an authorized paid rail run, then return the signed receipt and summarize the result, cost, and timing.
Provides an execution summary, cost breakdown, timing details, and a verifiable signed receipt.
Orchestrate complex agent workflows with receipts, fee handling, and MCP tool access.
Build a local code intelligence layer for AI-driven code exploration.
Connect payment capabilities to AI agents for automated commerce transactions.
Add a fail-closed verification gate before AI agents take action.
Debug and automate WeChat Mini Programs through WeChat DevTools with an agent-first MCP server.
Verify, score, route, compare, and delegate AI agent decisions.