AI Agents2 months ago
Turen · Ship at AI speed. Stay in control.
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
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26 projects
Monitor and extend AI coding agents with built-in security and control tools.
@TurenTom · X
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
Asynchronous coordination platform for autonomous coding agents with audit trails.
tyagivivek · HN
Parley – your coding agent can talk to a teammate's agent
Run nine AI security agents to examine GitHub repositories, review findings, and export reports.
murderszn · HN
GPT 6 Astra gave me a reason to put the finishing touches on an old project, and I'm very content with where it landed. Back in June, I built Cerberus Agent as an AI "watchdog" for vibe-coded apps. The goal was to catch security issues before they turn into hacked apps, leaked credentials, or stolen data. Now its in production! Easier than I though it would be. It uses Pollinations as the AI backend to review GitHub repos, explain findings, and propose fixes. You can discuss the findings, inspec
Agentopoly is Monopoly on the real world map, played from your coding agent over MCP. Watch the live board: cities by owner, the departures feed and the leaderboard.
@lalitvijay · X
A DeFi AI agent platform where you discover agents, play ShadowHide to earn rewards, and verify performance on-chain.
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.
Clear arrow paths in this browser puzzle game with story mode, daily challenges, and endless play.
wilddog · V2EX
搞了个摸鱼小游戏 https://arrowgo.net/zh-cn 箭头消除游戏 有独立的闯关模式 有每日挑战 有无尽模式 还支持自己编辑地图
Assign and coordinate work for AI agents using a prioritized task board with dependencies.
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk
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
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Permanent webhook endpoints and instant HTTPS tunnels for developers and AI agents.
@BinaryScriptar · X
Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A
Practice prompt injection attacks against an AI agent across 10 levels.
Getchowned · HN
The AI Lethal Trifecta