AI Agents1 month ago
ContextVault: Shared memory for AI systems
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
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Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Build and deploy applications with an AI-powered agent team.
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
Give AI agents their own email accounts and persistent inboxes they can use independently.
shim2k · HN
Email for Agents with 1 Prompt
Share code and text securely with end-to-end encryption and persistent AI assistant memory.
u/clausyn · Reddit
I built Pastepile because I was tired of re-explaining the same context to Claude and Cursor I originally built Pastepile as a fast way to share code, logs, configs, and text without creating an account. While using AI coding tools, I kept running into another problem: every new session meant explaining the same architecture, decisions, debugging history, and project context all over again. So I added an MCP server that lets Claude, Cursor, Windsurf, VS Code, and other MCP clients save us
Desktop app for running multiple AI coding agents in parallel across git worktrees
vuphanse
Manage projects by combining human and AI agents on a unified platform.
@1T31062175 · X
Manage AI agent teams with a human-friendly interface.
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed
Deploy and run AI agents in sandboxes on your own hardware through an IDE.
u/EagleApprehensive · Reddit
I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc
Debug and trace multi-agent AI pipelines with time-travel inspection.
suraj_chopade · Product Hunt
SwarmTrace Time-travel debugger for multi-agent AI pipelines
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.
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?