AI Agents3 days ago
PHANTOM — The AI that thinks ahead
Chat with an AI assistant that can help with writing, coding, and creative tasks.
@AnwarAtuma · X
Check out what I just built with Lovable!
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60 projects
Chat with an AI assistant that can help with writing, coding, and creative tasks.
@AnwarAtuma · X
Check out what I just built with Lovable!
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
A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
Text-based personal AI agent that learns about you and handles tasks while you live your life.
@eddleman · X
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.
Build and manage AI chatbots across WhatsApp, social media, and websites from a single dashboard.
@IstiaqueRa3jx · X
BotSailor is an all-in-one, no-code omnichannel chatbot and AI automation platform. It lets businesses build and manage chatbots across WhatsApp, Facebook Messenger, Instagram, Telegram, and website live chat, all from a single dashboard
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..)
Write, organize, and run prompts across multiple AI platforms in one interface.
@promptboxxx · X
Have all your AIs in one place and never repeat a prompt
Agentic AI assistant for building websites, writing code, and handling complex tasks.
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
Compare and run AI models for text, image, and video generation in one workspace.
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)