
Rerun | Run agents you can actually watch work
Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:
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Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:

Visualize AI coding-agent runs as interactive graphs from your transcript files.
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

Build production-ready AI agents using a visual canvas interface.
@salmanzafar949 · X

Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles

Design and deploy AI agent workflows with a visual no-code builder and 250+ integrations.
@Otogent · X

Live dashboard showing an AI-agent company's ARR, MRR, tasks, messages, and activity in real-time.
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live

Explore three AI agent runs on a scrubbable timeline showing planning, tool calls, and recovery.
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think

Propose actions and watch an AI control plane evaluate policies, handle approvals, execute, and verify results in real-time.
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.

A visualization language designed for AI agents to create and interact with charts.
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

Debug and trace multi-agent AI pipelines with time-travel inspection.
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines

Visual regression testing tool with AI to distinguish intended UI changes from real bugs.
@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:

Analyzes UI screenshots and provides design audits for AI agents.
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