AI Agents1 month ago
Node OS — Redemocratizing the internet
Decentralized operating system for building and running AI workflows on a peer-to-peer network.
@Economy_V1 · X
AI workflows for the rest of us. Built on Bitcoin. Building cloudless at
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Decentralized operating system for building and running AI workflows on a peer-to-peer network.
@Economy_V1 · X
AI workflows for the rest of us. Built on Bitcoin. Building cloudless at
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
AI agent on a cloud computer that automates workflows, drives browsers, and runs deep research.
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
AI generates branded proposals, invoices, and professional documents as PDFs in 60 seconds.
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.
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 :)
AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks
Rightsize OpenAI and Anthropic models. See what drives your AI bill, then validate cost-efficient model changes without rewriting your application.
@SpendLensAI · X
Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
Chat with multiple AI models, build agents, generate images, and analyze PDFs.
@ai_kral · X