AI Agents1 month ago
Deck | Design and Deploy Computer Use Agents
Design and deploy AI agents that automate tasks across software without requiring APIs.
@gabebenchimol · X
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15 projects
Design and deploy AI agents that automate tasks across software without requiring APIs.
@gabebenchimol · X
Govern, trace, and defend AI agents across multiple providers.
camsjams · HN
Lineation – One security control plane for all agents
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Workspace to publish and manage HTML and Markdown artifacts from any AI agent with version history.
@slashdisplay · X
One feature, two agents, one URL. Carl published v1 from Codex. Claude Code iterated to the version that shipped – every hand-off attributed in the audit log. A 3-minute walkthrough of a real workflow:
Manage AI agent teams with a human-friendly interface.
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
Add persistent user memory to your AI agents with a single SDK.
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.
Gateway for AI agents that prevents prompt injection, scans for secrets, and saves tokens.
benjamin_jorgensen1 · Product Hunt
Constellation Gate AI Prompt injection and token savings - #1 in benchmarks
Document processing layer for AI agent integrations via Model Context Protocol.
dvcoolarun · HN
Solve your document workflows with AI agents
Connect AI agents to a shared Project Brain so they remember architecture and project decisions.
u/Necessary_Drag_8031 · Reddit
After 6 months of building, here is AgentHelm – a shared Project Brain for AI coding agents Hey r/SideProject , I’ve been working on solving a problem I kept hitting while building with AI agents: agent amnesia . When you run autonomous agent fleets (or even single coding assistants), each agent operates in a silo. Agent A fixes an API edge case, but Agent B 10 minutes later makes the exact same bug because it has no memory of Agent A’s fix. AgentHelm acts as a mission control plane a
Test and improve AI agents safely by layering composable tools and objectives.
btables · HN
Cadenya – An Agent Runtime
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 :)
Create AI assistants for technical documentation that respond to user questions instantly.
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig