AI Agents2 months ago
Computer Agents | Agentic Compute Platform
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
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19 projects
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Platform with AI agents to help teams create, build, and deploy projects.
underdev1 · Product Hunt
Astra Motions AI agents that automate work, not just chat.
Build AI agents in chat that deploy across the web with optimized performance.
benln · Product Hunt
Agent Builder by Airtop Build agents that heal themselves.
Design and deploy AI agent workflows with a visual no-code builder and 250+ integrations.
@Otogent · X
A spec-driven development platform for Claude Code, Cursor and other AI coding agents.
@intentdocs · X
Visual editor for configuring multi-agent LLM systems with local inference.
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets
Self-updating documentation platform for AI agents and humans.
@papervine_io · X
Build databases, kanban boards, and notes for AI agents to collaborate on.
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly
Platform to build, deploy, and automate AI applications and business workflows.
@khemmapich · X
itself in the early days focus on help small business to run their business on ai agents with vibe coding, workflow automation, and ai employees.
Deploy an AI orchestrator to spawn and manage agents across multiple coding harnesses.
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
Build software with a team of AI agents through a game-like interface.
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes
Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X