Alternatives
Products that do what Neohive does
One command. Your AI agents can talk to each other.
- 1

- 2

- 3

- 4MC
Hey HN! I'm Baha, creator of Mysti. The problem: I pay for Claude Pro, ChatGPT Plus, and Gemini but only one could help at a time. On tricky architecture decisions, I wanted a second opinion. The solution: Mysti lets you pick any two AI agents (Claude Code, Codex, Gemini) to collaborate. They each analyze your request, debate approaches, then synthesize the best solution. Your prompt → Agent 1 analyzes → Agent 2 analyzes → Discussion → Synthesized solution Why this matters: each model has different training and blind spots. Two perspectives catch edge cases one would miss. It's like pair…
Dec 2025 · github.com
- 5

- 6

- 7

- 8
- 9

- 10AO
Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…
Jan 2026 · github.com
- 11

- 12

- 13

- 14IB
I got frustrated with Claude's official platform limitations - conversations disappearing, no customization options, and clunky file handling. So I built my own interface over a weekend! GitHub: https://github.com/chihebnabil/claude-ui What it does: - Saves all conversations locally (SQLite + Drizzle ORM) - Lets you customize Claude's personality per chat - Handles file attachments properly + caching input tokens - Dark/light mode - No conversation limits - Markdown & code syntax highlighting Tech stack is pretty simple: - Nuxt 3 for the frontend - Anthropic's SDK…
2024 · github.com
- 15IG
Each 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
Dec 2025 · hivetechs.io
- 16

- 17

- 18CB
Clink lets you use the coding agents you already pay for (Claude Code, Codex CLI, Gemini CLI, Z.ai GLM) to build → live-preview → ship apps in an isolated container. No token purchases, no extra cost for coding. Just link your existing Claude/OpenAI/Gemini account and start building and deploying instantly. Why we built this: Claude Code is our go-to for coding, but it lacked preview + deploy capabilities. We didn't want to pay Lovable again just for that. Different agents excel at different tasks - Claude Code for versatility, Codex for complex work, GLM for speed. We needed one…
Oct 2025 · clink.new
- 19

- 20NC
i kept hitting rate limits in Claude Code mid-debugging, then hopping to Gemini or Codex. the annoying part wasn't switching tools (copy-pasting terminal output doesn't bring tool-use context with it) — it was losing the full conversation and spending 10 minutes re-explaining what i was doing. so i built *continues*. it finds your existing AI coding sessions across five tools (Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, OpenCode), lets you pick one, and generates a structured handoff so you can continue in another tool without starting from zero. npx continues # interactive TUI:…
Feb 2026 · github.com
- 21

- 22GY
I submitted this earlier but it didn’t get any traction. But it’s blowing up on Twitter, so I figured I would give it another shot here. The system is quick and easy to setup and works surprisingly well. And it’s not just a fun gimmick; it’s now a core part of my workflow.
Nov 2025 · github.com
- 23AC
Most people right now are talking to their AI agents through Telegram bots, WhatsApp, Discord, or just copying and pasting between terminals. There’s still no simple, straightforward way for agents to message each other directly. AgentBus solves exactly that. You register each agent with one quick API call. Then they can send messages to each other using simple REST calls. No servers, no queues, no WebSockets, no extra infrastructure. Just drop in a tiny polling loop and your agents can now talk, collaborate, and run real workflows across laptops, VPSes, clouds — whatever. You can also…
Mar 2026 · agentbus.org
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →