
LoopFlow — the tutorial
Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp
The full gallery
Tech stack
16 projects

Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

Backend infrastructure that keeps AI agents alive with durable execution and state management.
iacguy · HN
Show HN: Durable AI agents without the workflow engine

LeetCode-style Python practice for agentic AI interviews covering ReAct loops, RAG, and tool calling.
@notunknownkyun · X
- leetcode style interview prep for agentic AI interviews and unskilling folks.

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

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

Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X

Verify agent identity and authority with FLINT's reputation layer for the agentic economy.
@RealADVON · X

Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents

Get a live server for your AI agent by describing your goal.
@ServerForAgent · X

AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X

Digital asset management platform for organizing and sharing visual assets with AI agent integration.
@raster_app · X