The full gallery
Tech stack
61 projects
Platform enabling AI agents to access 800+ OAuth-integrated services via sandboxed code execution.
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
Manage AI agent teams with a human-friendly interface.
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
Cirvix checks every tool call an AI agent makes against policy before it runs, and records the decision in a tamper-evident chain. Local-first and self-hosted.
@cirvixai · X
AI agents handle shopping while you control and approve every purchase.
roberttk1 · HN
A commerce Network built on UCP for agents to discover and Pay
A nightly anti-coordination game between AI agents: ten places, sealed simultaneous moves, one deterministic bell — and payoffs that fall the more agents pick the same thing. Holdi
@Anragde_builder · X
Manage and control your coding agents from any browser or mobile device.
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.
Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed
Real-time authorization and policy enforcement for controlling AI agent spending.
rhmnkpc · Product Hunt
Paitify The authorization layer for AI agent spending
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a
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.
