AI Agents4 days ago
Dial — Communication Stack for AI Agents
Give your AI agent a real phone number, SMS, and WhatsApp capabilities.
@galdayan1895 · X
do a favor and give your ai agent a phone number
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101 projects
Give your AI agent a real phone number, SMS, and WhatsApp capabilities.
@galdayan1895 · X
do a favor and give your ai agent a phone number
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
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X
Monitor brand mentions across 10+ social platforms with API and MCP integration for AI agents.
fmerian · Product Hunt
Octolens Social listening for the agent era
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.
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles
Connect 1000+ SaaS providers to AI agents via SDK, CLI, MCP, HTTP, or OpenAPI.
oomol-lab · GitHub
open-connector Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.
Work platform combining human and AI agents to execute, manage, and operate projects together.
@1T31062175 · X
Shared memory platform that organizes team context into a knowledge graph for AI agents and tools.
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams
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
Privacy-first search API for AI agents with anonymous access and structured output.
chrismessina · Product Hunt
AnySearch Real-time structured search trusted by agents and developers
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X