Developer Tools2 months ago
Automaintainer — Verified autonomy for your codebase
Runs AI agents on your repos to automatically improve code and ship merge-ready pull requests.
@javimosch · X
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26 projects
Runs AI agents on your repos to automatically improve code and ship merge-ready pull requests.
@javimosch · X
Give AI agents a structured way to request human approval with safe retries and verification.
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?
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.
Trading signals for the AI & Robotics sector with published track record.
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
Generate EU AI Act compliance documentation for your AI systems.
@Moha__niang · X
Test how your website treats 14 different AI agents and validate your robots.txt compliance.
@triviwritescode · X
Let’s connect! Building
Control your Tesla through Claude, ChatGPT, and other AI assistants using plain English.
@embayllc · X
Shipping your AI composes weather + calendar into real Tesla commands
Deterministic MCP tools for AI agents: EU AI Act and GDPR/CCPA checks, trust scoring, verification. Free tier, no key required — same input, same answer.
Atomadic · HN
Atomadic – Zero-LLM Sub-200us MCP Action Interlock
Adds a human approval step to AI agents, scripts, and CI/CD pipelines with durable inbox and signed callbacks.
u/king4queen · Reddit
Human Approval (HITL) for AI and autonomous system. I kept running into the same annoying problem with scripts and automations: Everything works fine until the software needs a human. Then suddenly I’m building the same stuff again: send a Slack/email notification save some pending state wait without losing the workflow show enough context to make a decision approve/reject/answer something somehow send that answer back handle retries, timeouts and duplicates So I start
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Evaluate AI products against published agent criteria with inspectable evidence and community votes.
@katyorby · X
i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.
Verify payment endpoints for AI agents with security checks and drift monitoring.
miaq_low · Product Hunt
AgentMint Verify Verify agent payment endpoints before your AI spends