Explainable backend flows — automatic causal traces, decision evidence, and MCP tool generation for AI agents
The explainable agent framework — build AI agents you can explain, audit, and trust. Built on footprintjs.
footprint 埋点 SDK 核心：页面任务、事件上报、公共参数
Themeable React components for visualizing FootPrint pipeline execution
footprint 埋点 SDK 通用指令层：v-log 点击/曝光指令
footprint 埋点 SDK Vue3 适配：useTrackTask + v-log 指令
See through your agent's decisions. React components for debugging agentfootprint runs — messages, prompts, tool calls, decision scope, cost.
Deterministic CO2 and energy impact calculator for AI inference calls
footprint 埋点 SDK React 适配：useTrackTask Hook
footprint 埋点 SDK Vue2 适配：路由 mixin + v-log 指令
Framework-agnostic player that replays an agent's runtime footprint (a recorded trace) as an animated, scrubbable story — the LLM brain calling tools and getting back data (reason), an instruction (act), or both.