AI Hive
Build, deploy, and run all your AI agents in one platform.
AI Hive launched on May 6, 2026 with 53 votes, #763 of 20,538 launches that month and more than 95% of that year's launches.
What it does
Most enterprise AI platforms treat compliance as an afterthought. AI Hive ships it from day one. Build AI agents visually — no code required. Deploy in your cloud, on your servers, or white-labeled under your brand. Pick your LLM: GPT-4o, Claude, or Gemini. Connect 50+ tools natively. PII masking, audit trails, RBAC, and guardrails are standard — ready for GDPR, HIPAA, and the EU AI Act out of the box. Built on 18+ years of enterprise software delivery.
Does a similar job
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Gemini Enterprise Agent PlatformApr 2026 · cloud.google.com · ▲121Google's platform to run AI agents at enterprise scale

AI Agent Platform by CometChat2025 · cometchat.com · ▲261AI Copilot for your website/app. Free for first 500 teams.
HiveTermMay 2026 · hiveterm.com · ▲86A native workspace for Claude Code, Codex, Antigravity and Grok. Split panes on the desktop, routines in the agent
Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
I got tired of switching AI tools, so I built an IDE with 11 of themDec 2025 · hivetechs.io · ▲20Each AI has strengths - Claude reasons well, Gemini handles long context, Codex integrates with GitHub. But switching between them means losing context. Built HiveTechs: one workspace where Claude Code, Gemini CLI, Codex, DROID, and 7 others run in integrated terminals with shared memory. Also added consensus validation - 3 AIs analyze independently, 4th synthesizes. Real IDE with Monaco editor, Git, PTY terminals. Not a wrapper. Looking for feedback: hivetechs.io
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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…
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