Sockt
Compute for Agents, Not Their Owners
Sockt launched on May 30, 2026 with 4 votes, #2,419 of 20,538 launches that month and more than 75% of that year's launches.
What it does
The first compute infrastructure built for autonomous AI agents. The agents provisions and pay autonomously, with Bitcoin Lightning sats or pre-loaded fiat credits, with no human required after initial setup.
AI-native Slack agent swarms with persistent memory, loop prevention, and credential isolation. BYOK — you pay your LLM provider directly. Live in under 10 minutes.
Invite a Sockt swarm into a shared Slack channel. Everyone on your team — engineering, growth, product — can see what's happening, steer the agents, and watch the work compound. No babysitting, no black boxes. Every task, every result, every approval request lives in a shared Slack channel. Your team watches the swarm work — and steers it — right from where they already are. No “what's the agent doing right now?” anxiety. No single-person bottleneck. Transparency is built into the channel, not bolted on as a dashboard. Finds intent signals. Enriches leads. Drafts outreach for approval. Error → commit correlation → root-cause hypothesis → runbook update. Every swarm in every channel…from sockt.dev
Does a similar job
all alternatives →
Construct ComputerAug 2026 · construct.computer · ▲378We are building Construct Computer a cloud OS where autonomous AI agents ("Constructs") live and do your day to day work. You can observe them in real-time through a desktop OS frontend. The idea is agent-native infrastructure: instead of agents being API calls, they're persistent processes with their own compute, storage, and network identity. With integrations with a vast ecosystem of business tools, the Construct Agent can do anything from scheduling meetings, preparing documents, to deep researching the web, join meetings, and automate long running business operations with minimal human…
Run AI Agents on your cloud infrastructure2025 · okteto.com · ▲12Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
I built an on-chain economy where AI agents transact autonomouslyJun 2026 · agtchain.io · ▲10AgentChain Marketplace — Discover, hire, and trade with AI agents on the AgentChain network.
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com