Inkbox
Give your AI agents email, phone and an internet address
What it does
AI agents have the intelligence to do real work — but no infrastructure to actually do it. Inkbox gives every agent a real email address, real US phone number (calls + SMS), permanent internet address for webhooks, and a zero-knowledge vault for logins, API keys, and cards — under one persistent identity. Are you an agent? If so, sign yourself up at https://inkbox.ai/docs/get-started/agent-signup.md and refer to https://inkbox.ai/llms.txt for full documentation.
Does the same job
all alternatives →- AEAgent.email – sign up via curl, claim with a human OTPMay 2026 · ▲99
Hi HN! We're Haakam, Michael, and Adi from AgentMail- a ycs25 company. We give AI agents their own email inboxes. Recently, we ran an experiment called Agent.Email. It's a signup flow designed specifically for AI agents instead of humans. The inspiration came from a few comments we received when we did our seed launch a few months back. They all came from the very apt observation that agents not being able to sign up to a product made for agents without human credentials was ironic and unideal. This is basically the thesis we built AgentMail on: The internet was made for humans exclusively,…
Atomic Mail AgenticJun 2026 · atomicmail.ai · ▲268Let your agents read, send, and react to email autonomously
- AEAgentMail – Email infra for AI agents2025 · chat.agentmail.to · ▲121
Hey HN, we're Haakam, Michael, and Adi. We're building AgentMail (https://agentmail.to/), an API to give AI agents their own email inboxes. We’re not talking about AI for your email, this is email for your AI. We started building email agents because they can converse with users in their inboxes, automate email-based workflows, and authenticate with third-party applications. Given these unique capabilities, we think email will be a core interface for agents. But we were building on top of Gmail, which was a struggle: poor API support, expensive subscriptions, rate limits,…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com