
Audaxic — Memory for AI Agents
Affordable memory storage layer for AI agents.
@AudaxicTech · X
Memory for AI agents, most affordable in the industry
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60 projects

Affordable memory storage layer for AI agents.
@AudaxicTech · X
Memory for AI agents, most affordable in the industry

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?

Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

AI agents that find leads, research prospects, and automate sales outreach.
@Ancoiacrm · X
Sellia → AI sales agents that help founders find opportunities, research prospects, and build a repeatable sales process. Curious what you’d improve first.

Talona gives AI agents a real browser. Spin up isolated, production-grade browser sessions in seconds and drive them through a single API.
@ignacyrusz · X

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 embedded in your product to automate customer onboarding and support tasks.
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user

AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X

Infrastructure for AI coding agents to coordinate work asynchronously with audit trails.
tyagivivek · HN
Parley – your coding agent can talk to a teammate's agent

Unified context layer for AI agents that integrates email, drive, Slack, Notion, and GitHub.
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

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.

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