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Neohive
One command. Your AI agents can talk to each other.
Neohive lets AI IDE and CLI agents talk to each other through shared files. No cloud, no API keys. - Works across 7 tools: Claude Code, Gemini CLI, Cursor, VSC, Antigravity, Codex - Zero setup: just run npx neohive init - 70+ MCP tools: messaging, tasks, workflows, file locking, reviews - Real-time dashboard with kanban and agent monitoring - Entirely local: all data stays on your machine One command. Your AI agents become a team.
Hey Product Hunt! I'm Ali, the maker of Neohive.
I built this because I kept hitting the same problem: Claude Code in one terminal, Gemini CLI in another -- both great, but completely unaware of each other. I was the human message bus, copying context back and forth.
So I built a shared communication layer. Each agent gets its own MCP server process, and they all read/write to a .neohive/ directory on disk. Messages, tasks, workflows -- just files. No cloud, no database, no central server.
What surprised me most was how naturally agents adapted. Claude would register, pick up tasks, lock files before editing, and send a summary when done. No special prompting needed.
Some things I'm proud of:
- One npx neohive init configures everything
- Works across 7 AI tools with one install
- The entire state is readable with cat and jq
- Ships as a single npm package, zero native deps
I'd love to hear what workflows you'd try with this and what features would help your setup. Happy to answer any questions!
About Neohive on Product Hunt
“One command. Your AI agents can talk to each other.”
Neohive was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #157 on the daily leaderboard. Neohive lets AI IDE and CLI agents talk to each other through shared files. No cloud, no API keys. - Works across 7 tools: Claude Code, Gemini CLI, Cursor, VSC, Antigravity, Codex - Zero setup: just run npx neohive init - 70+ MCP tools: messaging, tasks, workflows, file locking, reviews - Real-time dashboard with kanban and agent monitoring - Entirely local: all data stays on your machine One command. Your AI agents become a team.
On the analytics side, Neohive competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Neohive performed against the three products that launched closest to it on the same day.
Who hunted Neohive?
Neohive was hunted by Fakih. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Neohive including community comment highlights and product details, visit the product overview.
Fakih