AI Agents1 week ago
RentAHuman — The Marketplace Where AI Agents Hire Humans
Marketplace where AI agents hire humans for real-world tasks with MCP and API integration.
@rentahumanx · X
The full gallery
Tech stack
60 projects
Marketplace where AI agents hire humans for real-world tasks with MCP and API integration.
@rentahumanx · 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?
Create AI workflows using a visual builder and deploy them instantly.
ikessler · HN
NuFlow, visual, AI powered, low code, dev and deploy platform
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
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 agents that automate time-consuming tasks, including portrait generation.
@pavithra2870 · X
Building - less prompting, more work getting done. Lets connect 🚀 (do try out portraits category agents if you are at it )
AI agents that search, summarize, and create content from academic papers.
colibris · HN
AI Assistant that verifies its own sources
Sync your AI agent setup and skills across platforms without vendor lock-in.
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Build AI trading agents from natural language descriptions, backtest them, and monitor markets automatically.
ariavikram · HN
Delphi – Build your own AI trading agent in seconds
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
Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
Build and visualize AI agents executing live on an interactive dashboard.
@Aurelsuuu · X
this is my product, come take a look: