Developer Tools2 months ago
Agentagon - Find the failures customers already feel
Analyze production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
The full gallery
Tech stack
60 projects
Analyze production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
Monitor and investigate failures across multi-agent systems from a live dashboard.
leylal0016 · HN
AgentPulse detects and investigates failures in multi-agent systems
Trace and debug AI agent failures in production by following model calls and tool executions.
sayanbiswas64 · HN
Axonpush – Replay production agent failures in CI and fail the build
Detects failures in AI agent applications and opens eval-backed pull requests for you to review and merge.
pranny · HN
Selfship.ai – Surface and fix isues with your agentic applications 24x7
UserTapes turns every session into video for you and markdown for your agents. Ask why users struggle — get an answer, timestamped, with the tape to prove it.
@mcdocalu · X
Analyzes AI prompts to identify failures and return corrected versions.
u/pulptaken · Reddit
I built a website to audit AI prompts I'm giving away a limited number of early access invites for anyone who wants to try Marzel. You'll also be able to try the product once directly from the landing page, without joining the early access. This initial phase is focused on validating the core features and collecting feedback. After that, Marzel will also include a browser extension and a desktop app for auditing Claude Code and Codex CLI sessions, which is the project's main goal. If yo
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
Watch an AI lose access to revoked memory mid-task.
coleaalkire · HN
Pupul, portable and revocable memory you carry into any AI
Autonomous agents that test web and mobile apps to discover flows, find bugs, and replay scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.
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