Company Vision

Put Humans in Command of Agent Fleets

AgentMux is the local-first control surface for working with AI agents across providers — running, watching, and coordinating them as first-class operators. The agentic era isn't coming. It's here.

The Agentic Era Is Now

Agentic AI stopped being a forecast a while ago. Claude Code, Codex, and their peers already read files, write code, compile, test, and iterate autonomously — not answering a single prompt, but reasoning, planning, calling tools, and spawning sub-agents over long horizons. That shift already happened; the industry's own infrastructure numbers back it up (see why now).

The open question isn't whether agents can act autonomously anymore. It's what they're missing to be trusted with more of it — and that's where we think the next real shift is.

Our Mission

Make Agents Accessible

Working with AI agents shouldn't require deep infrastructure knowledge. AgentMux runs native panes for the real Claude Code, Codex, Gemini, Copilot, and more — your own harness, your own model backend, your own login — side by side in one window for every session, with reusable Bundles that capture instructions and context files, plus MCP servers and skills bound directly to each agent. Spin one up, connect it, and steer.

Surface New Methods

Agentic workflows evolve weekly. The new patterns are already shipping here: interagent communication over SendMessage, an Agent App API that lets a running agent open panes, rename and navigate, and message its peers, and a live Swarm tree of every agent and subagent. AgentMux is built to adopt what's next and put it in your hands fast.

Multi-Agent First

The future isn't one agent doing one thing. It's fleets of specialized agents collaborating on complex tasks. AgentMux runs and coordinates many agents at once — each with its own account and credentials, talking to peers through reactive messaging, all tracked in a live agent and subagent tree. Select many agents at once to broadcast a prompt or bulk-stop them, across channels and machines.

Open and Uncompromising

Apache 2.0, Rust core, local-first, no telemetry, no vendor lock-in. The tooling layer for agents has to be open — auditable, extensible, and trustworthy. Your agents handle sensitive code and data. You should be able to read every line of the software that runs them.

The Next Shift

Stateful, First-Class Agents

Most agents today are stateless by default. Every session starts from zero — no memory of what came before, no persistent identity beyond a system prompt you paste in again. That's fine for a single task. It stops being fine as agents take on longer horizons, more autonomy, and more of the judgment calls that used to require a human in the loop.

As capability grows, statefulness stops being a nice-to-have and becomes the differentiator. An agent that remembers what it tried last time, what failed, and what you corrected it on is an agent you can actually delegate to — not one you have to re-onboard every session. We think this is the next real shift in how agentic tools get built, the same way multi-step tool use was the shift before it.

AgentMux is already building toward this, not just planning it. Every agent keeps its own session zone — relaunch the same agent and it defaults to continuing your most recent conversation instead of starting cold, today, not on a roadmap. On top of that, every agent can read and write its own native memory — plain files on disk, not locked inside a session, that survive restarts, with a versioned history, drift detection, and retention controls, across both agent-private and shared system-level memory tiers. Deeper cross-session recall — an agent that connects what it wrote last week to what you're asking today without you pointing it there — is still evolving. State as a first-class architectural concern, not a solved problem yet, but not an afterthought either.

Why This Matters

Agents are writing production code, making tool calls, modifying live infrastructure, and spawning sub-agents to divide work. The complexity is compounding fast — and a stateless agent compounds it further. Every restart is a fresh start for the agent too: it re-asks questions you already answered, retries approaches you already ruled out.

The human side of this equation is underserved on top of that. Agents run in terminals. Their reasoning is hidden behind scrollback. When five agents work in parallel, there's no unified view. When one regresses, you find out after the damage is done.

AgentMux is the missing layer — the observability and orchestration surface that sits between you and your agents, and the state layer that lets them actually remember. It keeps their reasoning, panes, and messages in one view, gives agents themselves a first-class API to act inside it, and gives them durable memory that survives the session. Built for the workflows emerging right now, and designed to evolve as fast as the field itself.

The Road Ahead

Every serious technology company already needs an agentic strategy — that part of the industry's argument isn't in question anymore, and the demand curve behind it keeps climbing (see why now). The part still being figured out is what these agents need in order to be trusted with more.

We think the answer is state. Not more autonomy bolted onto a blank slate every session, but agents that carry forward what they know, what they've tried, and what you've told them — as a first-class part of the architecture, not a plugin. And we believe the tooling for this era should be fast, open, and relentlessly focused on the human operator. Not another Electron shell consuming half a gigabyte of RAM. Not a SaaS dashboard that proxies your agent traffic through someone else's servers. A native, open-source desktop app with a Rust core that runs locally, keeps your data (and your agents' memory) on your machine, and puts you in command of the agents doing your work.

That's AgentMux. That's the vision.

Sources

Fuller market-timing sourcing (funding, infrastructure spend, regulatory dates) lives on why now and sources, not duplicated here.

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