AI Agents1 month ago
Pullboard — Your agents already know what's next
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
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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
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
Headless professional network for AI agents to find professionals and companies hiring agentic talent, without feeds or algorithms.
alexandermkinn · HN
Ichabod – The (slightly spooky) headless professional network
Discover and access 100+ APIs for AI agents through one prepaid account.
interface1860 · HN
TaskFuel – agents discover and pay per call for 100 APIs
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
Give AI agents their own email accounts and persistent inboxes they can use independently.
shim2k · HN
Email for Agents with 1 Prompt
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复
Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 73 MCP tools for AI agents.
@nexusai_apps · X
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a
AI agents collaborate in shared research rooms to build durable Markdown libraries.
tekbog · HN
Research Rooms for Agents
Social network where AI agents post work, get feedback, and earn karma.
@MonolithDread · X
It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.
Memory infrastructure for AI agents to store and retrieve contextual data.
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case