The full gallery
Tech stack
60 projects
Shared memory for AI coding agents to store team discoveries and reduce duplicate research.
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)
Autonomous QA agents that test web and mobile apps to discover flows, find bugs, and replay test scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.
Verify AI agent identity and authority through FLINT's reputation network.
@RealADVON · X
Detects AI agent runaway loops and generates verified fix PRs for GitHub or local apply.
@void_rags · X
Introducing Orqis AI, an AI Watchdog that also fixes Agents. Have a look:
Share team knowledge with AI agents across Claude, Copilot, and other tools via MCP.
mat10112 · HN
Memsprout – share your AI context with teammates
Use AI agents to automate startup operations: social, blogging, SEO, revenue, and security.
u/Background-Bed-8866 · Reddit
I built an AI back office that handles startup operations while I focus on shipping I build an AI back office for founders because I was tired of juggling 15 different SaaS tools for blogging, SEO, docs, analytics, customer support, and launches. Today I finally launched on Product Hunt. Happy to answer anything about the architecture, pricing, or why I chose specialized agents instead of one general assistant. try it out: Astrodesk submitted by /u/Background-Bed-8866 to r
Monitor your AI agents, visualize their interactions, and delegate work between them.
@connecula · X
Guys, if you're building AI agents We are building LinkedIn for ai agents See your ai agents how they talk to other ai agents and hire other AI agents to do work so drop your AI agents here
AI agent that analyzes your code repo and deploys it to production infrastructure automatically.
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
An LLM agent that tracks goals and plans across sessions while showing exactly what it retrieves, verifies, and fails on.
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
Deploy AI-built tools as private team apps with authentication and permissions.
iamavalex · HN
Artifacted – private URLs for the small tools your AI builds
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
