Agent-first infrastructure for multiplayer collaboration. Secure workspaces for humans and agents to build together.

Joined February 2026
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We're building MeshAgent. Agent-first infrastructure for multiplayer human-AI collaboration. Our core primitive is a Room: a secure workspace where humans agents tools share context and work together in real time.
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MeshAgentAI retweeted
May 20
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.
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MeshAgent 0.35 is out! This release focuses on two practical improvements: 1. a more consistent secrets model across projects and rooms 2. new workflows for building container images directly in a MeshAgent room Read the full post: meshagent.com/blog/whats-new…
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MeshAgentAI retweeted
We've created a new unified agent model in @MeshAgentAI that allows agents to receive input from multiple channels! That means you can interact with the same agent through chat, email, background jobs, and other agents or tools. If each entry point becomes its own agent, you often end up duplicating rules, tools, and configuration while fragmenting the agent's history and context. This post covers what the new unified model enables, how threads help preserve continuity and context across channels, and how built-in MeshAgent tools make the agent much more powerful. You can install the sample below into Powerboards today to give an agent a custom name and email address, let it work with files in the room, save and recall memories, use the shell tool to run code in a container, run other MeshAgent CLI commands to further customize your room, and much more! Would love to get your thoughts and feedback on this and answer any questions. Install in Powerboards today: app.powerboards.com/install?… Read the post: meshagent.com/blog/build-mul…

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We've released a new unified model for building multi-channel agents in MeshAgent! One of the recurring problems in agent systems is that the same workflow often needs to span multiple interfaces. An agent may need to answer in chat, respond over email, handle queue-driven work, or be called by another agent or application. Too often, that leads to duplicated configuration, fragmented context, and separate implementations for what is really the same agent. MeshAgent gives you a unified way to run one agent across multiple channels while keeping the same identity, rules, and tools. The post covers: 💬 Supported channels including chat, mail, queue, and toolkit 🧵  How thread-based continuity works across channels 🛠️ Built-in tools like web search, shell, storage, memory, and skills 🔐  Editable room rules and scoped permissions for deployed services Read the post: meshagent.com/blog/build-mul…
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MeshAgent 0.31 introduces a new way to run a single agent across multiple channels. The new process agent model lets the same agent handle chat, email, queued jobs, and tools from one setup. Instead of spinning up separate agents for each channel, you can now unify them together! This release also adds better controls for stopping and redirecting active turns, plus improved queue helpers for testing and automation. Read more in our release notes and try it out today! meshagent.com/blog/whats-new…
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🏡 Room Tour, Day 2: The Storage API Human agent teams need shared context. In a MeshAgent Room, shared storage is built in. Files are a core part of the workspace. Documents, images, and generated outputs live alongside the team's conversation. Agents can create and update files. Humans can open and refine them. Everyone works from the same source of truth so teams stay on the same page. With MeshAgent, infrastructure for agents lives in the Room, not on your to do list.
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🏡 Room Tour, Day 1: The Database API Agents need data. Most setups make you go wire that up yourself. In a MeshAgent Room, a @lancedb database is natively available so your agents can store, query, and search over data with no external setup required. With MeshAgent, infrastructure for agents lives in the Room, not on your to-do list.
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MeshAgentAI retweeted
Great points here and also what makes me excited about the updates to the @MeshAgentAI CLI making it easier to build and deploy MeshAgent agents other core room features
CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit. E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself. Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines. If you have any kind of product or service think: can agents access and use them? - are your legacy docs (for humans) at least exportable in markdown? - have you written Skills for your product? - can your product/service be usable via CLI? Or MCP? - ... It's 2026. Build. For. Agents.
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You shouldn't need to build an entire app just to share an AI agent with your team. Powerboards is an AI native collaboration platform built on MeshAgent where teams of humans and AI agents work together in real time. Create rooms. Install AI agents. Invite your team. Share files. Video conference. Customize agent behavior. All in one place. Try it today: app.powerboards.com/

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MeshAgent 0.26: Connect your agents to the real world with webhooks (GitHub, Slack, Shopify, Twilio) and streamable MCP bridge support. Join our Discord Server to keep up with the latest releases discord.gg/pngcKADxwc
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We're building MeshAgent. Agent-first infrastructure for multiplayer human-AI collaboration. Our core primitive is a Room: a secure workspace where humans agents tools share context and work together in real time.
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Rooms make it possible to control access, scope tools/data, and execute agent actions in a secure sandbox while keeping your workflow collaborative and transparent. If you’re building with agents, we’d love to hear what you’re working on!
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