AI Agents1 week 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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60 projects
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Coordinate multiple AI coding agents and projects in one unified terminal interface.
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
Manage API keys and usage budgets for coding-agent workflows with request routing.
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to
Describe self-correcting coding workflows in plain English and run them until tests pass.
forgeapp
AI agent platform to help discover ideas, research topics, and create content.
@gravibase · X
Discover how AI agents can turn ideas into content. Try GraviBase today:
Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
Uses AI agents to audit repository architecture and verify production-readiness.
@profericardo24 · X
Alcatraz Projects is a forensic audit layer that uses OpenClaw agents to interrogate your repo, ensuring your architecture is production-ready, not just 'vibe-coded' debt.
Work platform combining human and AI agents to execute, manage, and operate projects together.
@1T31062175 · X
Schedule and manage AI agent tasks directly from Google Calendar.
matt413 · HN
Schedule tasks for your AI agents from Google Calendar
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 workspace for teams to automate workflows, chat with an assistant, analyze data, and manage projects.
@HonEmmi · X
I'm working on Neuralflow Ai It acts as an AI workspace where teams can automate workflows, chat with an AI assistant, analyze business data, summarize documents, manage projects, and collaborate from one central platform.