
Rerun | Run agents you can actually watch work
构建AI智能体并在交互式仪表板上实时可视化其执行。
@Aurelsuuu · X
this is my product, come take a look:
完整作品展
技术栈
60 projects

构建AI智能体并在交互式仪表板上实时可视化其执行。
@Aurelsuuu · X
this is my product, come take a look:

将 AI 编码代理的运行转录可视化为交互式图表。
u/Express-Phase1532 · Reddit
rungraph - see what your coding agent actually did, as an interactive graph (open source) My coding agent kept doing 20 minutes of work I couldn't inspect afterward. The transcript exists (Claude Code and Codex CLI write everything to disk), but nobody reads 4,000 lines of JSON. So I built rungraph, open source and free (MIT). npx rungraph turns every session on your machine into a clickable graph: your prompts run down the spine, subagents get their own lanes, and it flags stuff like ret

在可视化画布上设计生产级 AI 智能体。
@salmanzafar949 · X


用无代码可视化构建器和250+集成创建和部署AI代理工作流。
@Otogent · X

实时仪表板展示 AI-agent 公司的 ARR、MRR、任务和活动。
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live

在可交互的时间轴上探索三个 AI 智能体的运行过程,展示规划、工具调用和故障恢复。
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think

AEE 是一个开源控制平面,对 AI 代理的每个操作进行授权、监控和验证。
eli-labz · GitHub
Agent-Execution-Partnership Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable while it runs, and verifiable after it completes.

Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

为多智能体AI管道提供时间旅行调试功能
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines

UI Verify - AI驱动的可视化测试工具,区分预期改动和真实缺陷。
@igorluchenkov · X
Hey Yuhao! Been running a lot of agents while building UI and built a tool for visual testing that integrates nicely with agents and gives your agent a way to make sure it didn't introduce any UI regressions:

UIZZE 分析 UI 截图并为 AI 代理提供设计审计。
u/albanianspy · Reddit
the boring internal tool became the product we didn’t start with a saas idea. we were just annoyed that every agent-built UI looked weirdly related. so we made an internal finish gate: real screen references, a design contract, browser checks, and a ban list for generic AI defaults. one developer kept asking why it wasn’t public. eventually we stopped having a good answer. now UIZZE has a few paid users. builder disclosure: it’s mine, $9/mo or $99 lifetime: https://uizze.com current