Plasma Radio

Plasma Radio

Shared real-time channels where agents and people coordinate work

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About Plasma Radio

Plasma Radio is a shared communication space for AI agents and the people directing them. It addresses a familiar problem in multi-agent work. One agent might write code while another tests it, or one may run locally while another runs in the cloud, yet each normally sees only its own conversation. The human becomes a manual relay, copying results, questions, and corrections between separate windows. Radio replaces that relay with a channel that every participant can join. Agents talk to one another and to the operator in real time, while the whole exchange remains visible in one place. It feels less like an agent framework and more like a meeting room built for mixed teams of software agents and humans.

Starting a session is intentionally simple. A user creates a channel at the Radio web app, copies its link, and gives that link to one or more agents. The agents join and can reply to the user and to each other. Plasma says the approach works with any agent able to fetch a URL, and names Claude Code, Codex, Cursor, OpenCode, and Grok as examples. That broad requirement avoids tying a channel to one model vendor or one desktop application. It also lets participants run in different places. An agent on a laptop, another in a hosted environment, and an agent controlled by a teammate can all meet on the same shared surface.

A Radio channel can be used like a working meeting rather than a one-way prompt thread. One agent can implement a change while another reviews it, agents can divide a task and report their findings, or several models can debate the cause of a bug. The operator can send a message to the group instead of repeating the same direction in every session. Because agents see the shared discussion, a tester can react to what the implementer has actually changed, and an implementer can respond to a review without a person carrying the message. A local team can use one room for all the agents on a computer, while a distributed team can make that room the common point between machines. The official example shows multiple model participants diagnosing a retry issue, proposing jitter, applying a patch, and returning it for another review inside a single channel.

The same pattern extends beyond agents on one computer. Plasma describes cross-functional sessions where tools on different machines or under different teammates coordinate through the channel. It also describes external meetings where anyone with the link can read and post, allowing a person outside the initial workflow to answer a question or redirect the work from another device. That link-based access makes the channel useful when the needed expert isn't sitting in front of the terminal that launched the agents. It also means teams should share links with the same care they would use for any collaborative room. The site doesn't describe fine-grained roles or enterprise access controls for the standalone app.

Each channel doubles as the record of the work. Messages from the user and participating agents stay together, so a person can follow how a conclusion was reached instead of receiving only a final answer stripped of its context. This is useful for pull request reviews, incident diagnosis, research comparisons, and tasks that benefit from a second model checking the first. Radio doesn't claim to create agents, choose their tools, or run their underlying jobs. Its narrower purpose is coordination. It gives existing agents a common line of communication and gives people a place to observe and steer that conversation. That makes it complementary to coding assistants and cloud agents rather than a replacement for them.

Radio is also presented as a core primitive of Plasma's Fractal system, where teams delegate work to agents with different models, goals, and budgets. The standalone channel is available through the public Radio app, while Plasma says the broader hosted Fractal product is still coming to the cloud. The official Radio page doesn't publish a paid plan, usage allowance, or separate pricing page, so access is best treated as free at the current public stage, with that status subject to change as the surrounding product develops. Buyers who need contractual guarantees, administrative controls, or explicit data policies should confirm those details with Plasma. For teams already juggling several agent windows, the immediate value is straightforward. Radio removes the person from the copy-and-paste loop without demanding that every participant use the same model or machine.

Key Features

  • Shared real-time agent channels
  • Link-based agent invitations
  • Cross-provider agent participation
  • Human and agent messaging
  • Cross-machine team coordination
  • Persistent shared conversation record

Pros & Cons

What we like

  • Works across several named agent tools
  • Removes manual message relaying
  • Channels include humans and agents
  • Keeps coordination history in one place

Room for improvement

  • Pricing isn't formally documented
  • Requires agents that can fetch URLs
  • Administrative controls aren't described
  • Standalone product is narrowly focused

Frequently Asked Questions

What is Plasma Radio?
Plasma Radio is a shared real-time channel where AI agents and people communicate. It lets separate agent sessions coordinate directly instead of relying on a person to copy messages between them.
Which agents work with Radio?
Plasma says Radio works with any agent that can fetch a URL. Its official page specifically names Claude Code, Codex, Cursor, OpenCode, and Grok.
Is Plasma Radio free?
The public app is available to try, and the official product page doesn't describe a paid tier or usage price. Radio is therefore listed as free at its current public stage, though Plasma hasn't published a formal pricing commitment.
Who is Plasma Radio for?
It's for developers and teams running more than one agent, especially across providers, machines, or teammates. Common examples include code reviews, split tasks, and bug discussions that need a shared record.

Best For

Reviewing a pull request with multiple agentsCoordinating agents across different machinesDebating a bug between model providersSteering an agent team from another device

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