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Multi-agent AI workspace
PolyphonyAI

Orchestrate
Intelligence.

Orchestrate
Intelligence.

Orchestrate
Intelligence.

Orchestrate
Intelligence.

Deploy a team of AI agents.
Control exactly what each one sees.

Local-first
BYOK
No Accounts
No Sync
Native desktop
You're already using
Claude.
And GPT.
And Gemini.

Each one brilliant.
But bring them together and they all see everything?
Not here. You decide what each one sees.

PolyphonyAI puts them on one stage, with you conducting.

Claude
ChatGPT
Gemini
Ollama
Capabilities

Do more than just chat about your ideas.

What sets it apart

Selective context

See every capability in the docs →
How it works

From idea to shipped.

One workspace. Every stage of development.

  1. 1

    Open your codebase

    Point at any folder. Your files, git, and context stay local.

  2. 2

    Assemble your agents

    Any model, side by side: Claude, GPT, Gemini, or a local Ollama.

  3. 3

    Direct them from one conversation

    One message; every agent replies in parallel. @mention to steer one.

  4. 4

    Control what each agent sees

    Give each agent the whole thread, a limited view, or a single pinned message.

  5. 5

    Branch to explore, merge to converge

    Fork to try approaches in isolation, then merge the conclusion back.

  6. 6

    Approve before anything runs

    With the approval gate on, code agents show you a plan and wait for your go-ahead before they act.

  7. 7

    Ship from the same window

    Stage, commit, push, and open a PR without leaving.

Architecture

Five layers. One traceable path.

  1. PolyphonyAIThe native workspace that sits on top.
  2. Write-time visibility enforcementEach memory an agent stores is checked against its clearance as it is written, not filtered after the fact.
  3. Direct provider connectivityRequests go directly to Anthropic, OpenAI, Google, or a local model. PolyphonyAI never routes your keys or model requests through its own servers.
  4. Pre-transmission context filteringContext is filtered against visibility rules at assembly time, before transmission to any model.
  5. Gated execution with full audit loggingWith the approval gate on, filesystem, shell, and git operations wait for your approval before running. Every executed action is recorded.