MeshPilot is an AI workspace for developers. Plan, build, and run your projects in one place - with terminals, a visual canvas, and task boards unified in a single app. Talk to your tools with voice, let AI agents run real tasks, and keep persistent memory so your context carries across sessions instead of starting cold every time.
Hey Product Hunt!
I built MeshPilot because my dev workflow was scattered across terminals, task boards, notes, and chat, and all that context vanished the moment I closed a session.
MeshPilot pulls it into one AI workspace:
• Terminals, a visual canvas, and task boards in a single app
• Voice - talk to your tools instead of clicking through them
• AI agents that actually run tasks, not just suggest them
• Persistent memory so your context carries across sessions
It's early and I'm building it in the open. Would love your honest feedback - what breaks your flow the most right now?
I didn't realize how much time I spend jumping between docs, chats, notes, and terminals until I started paying attention to it.
Interesting to see a product trying to bring those pieces together rather than adding yet another standalone AI tool.
Terminal workspace + agents is a solid combo. What was the biggest surprise about how people actually wanted to interact with their tasks once you shipped?
Having terminals, tasks and AI in the same workspace makes a lot of sense.
Out of curiosity, are the agents actually executing commands in the terminal, or do they operate through a separate execution layer?
Congrats on the launch.
The persistent memory angle is what caught my attention. Re-explaining the same project context to AI tools every session gets old fast. Congrats on the launch!
Nice. The separate terminal context is a good start. The thing I’d want next is a tiny run record for each agent task: what it was allowed to touch, which terminal or repo it used, what changed, and what should be carried into memory after the run. Is that how you’re thinking about the temporary context layer?
Persistent memory is the part that stands out. A lot of agent workflows fail because context disappears between sessions. How do you decide what should become durable memory versus temporary context, especially when multiple tasks or terminals are running in parallel?
About MeshPilot on Product Hunt
“Your AI workspace for terminals, tasks, and agents”
MeshPilot launched on Product Hunt on June 19th, 2026 and earned 100 upvotes and 12 comments, placing #12 on the daily leaderboard. MeshPilot is an AI workspace for developers. Plan, build, and run your projects in one place - with terminals, a visual canvas, and task boards unified in a single app. Talk to your tools with voice, let AI agents run real tasks, and keep persistent memory so your context carries across sessions instead of starting cold every time.
MeshPilot was featured in Productivity (655.7k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 325.1k products, making this a competitive space to launch in.
Who hunted MeshPilot?
MeshPilot was hunted by Jenesh Patel. 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.
Want to see how MeshPilot stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jenesh Patel