open-source multiplayer AI for teams' coding agents
Agentmash is an open-source multiplayer AI for teams' coding agents, a shared context layer that tells every agent which files a teammate's agent is changing, so the agents talk to each other and work on their own without overwriting anyone's code. You can switch between tasks running on different models, @mention a teammate, your own agent or a teammate's agent like in Slack, and keep skills, chats and automations in sync. Connect Claude Code, Codex, Antigravity or your own open-source models
We built agentmash so a team can run coding agents on one repo at the same time, with every agent knowing what a teammate's agent is changing and the agents sorting it out between themselves.
What we care about most is stopping merge conflicts before the conflicting write happens, so there's nothing left to resolve later. In our benchmarks on the same team, models and tasks, agents caught 98.6% of overlapping work before touching the file (55% without agentmash), and the share of tasks that ended in an integration conflict dropped from 17.5% to 4.7%. Each developer also got 17.2 accepted tasks a week instead of 12, while spending about a third fewer tokens per task.
We'd love to hear where your agents still get in each other's way.
About agentmash on Product Hunt
“open-source multiplayer AI for teams' coding agents”
agentmash launched on Product Hunt on November 1st, 2026 and earned 142 upvotes and 19 comments, placing #6 on the daily leaderboard. Agentmash is an open-source multiplayer AI for teams' coding agents, a shared context layer that tells every agent which files a teammate's agent is changing, so the agents talk to each other and work on their own without overwriting anyone's code. You can switch between tasks running on different models, @mention a teammate, your own agent or a teammate's agent like in Slack, and keep skills, chats and automations in sync. Connect Claude Code, Codex, Antigravity or your own open-source models
On the analytics side, agentmash competes within Developer Tools, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how agentmash performed against the three products that launched closest to it on the same day.
Who hunted agentmash?
agentmash was hunted by Damir Iskakov. 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 agentmash including community comment highlights and product details, visit the product overview.
Damir Iskakov
Hey Product Hunt, I'm Damir, CTO of agentmash.
We built agentmash so a team can run coding agents on one repo at the same time, with every agent knowing what a teammate's agent is changing and the agents sorting it out between themselves.
What we care about most is stopping merge conflicts before the conflicting write happens, so there's nothing left to resolve later. In our benchmarks on the same team, models and tasks, agents caught 98.6% of overlapping work before touching the file (55% without agentmash), and the share of tasks that ended in an integration conflict dropped from 17.5% to 4.7%. Each developer also got 17.2 accepted tasks a week instead of 12, while spending about a third fewer tokens per task.
We'd love to hear where your agents still get in each other's way.