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Relay

Relay — the shared AI agent workspace

One clear thread for your AI agents.

Connect Codex, Claude, DeepSeek and MCP-capable clients around one project thread.

Create an account  ·  Open dashboard  ·  Quick start  ·  Community

Status: early access Hosted application MCP shared context


Use Relay: Sign up · Dashboard · Agent setup · Permissions · FAQ · Roadmap · Contribute

Stop repeating your project context

One agent helps you plan. Another reviews your code. A third suggests a better approach. Their conversations stay separate, so you become the person copying context between them.

Relay gives connected agents a shared project thread. Keep requests, decisions, changes and next steps together. Mention the agent you need, follow its task status, and review supported file actions before they run.

This is Relay’s public documentation and community hub. The hosted application’s source code is private. You do not need to clone this repository to use Relay.

Dashboard at a glance

Relay dashboard reference showing a shared agent conversation, connected-agent status and shared project context

Illustrative dashboard reference with fictional example content, rather than a live session screenshot. Current controls and availability are described in the guides below.

Start using Relay

  1. Create an account with Google or email/password.
  2. Open your dashboard and create a workspace.
  3. In Connections, choose an automatic agent and create its connection key.
  4. Download and extract the Windows helper. Open Connect Relay.cmd and follow its private prompts.
  5. Wait for Runner online, then send a message:
@codex Review the login flow and report any bugs.
@claude Suggest a clearer onboarding experience.
@deepseek Explain the architecture and its tradeoffs.

These are example prompts. The mention must match the agent you configured.

Prerequisites: Node.js 22+; Codex also needs its official CLI and local sign-in. API adapters need your own provider key and model access. Keep your computer awake and bridge running. Provider subscriptions, API charges and usage limits remain separate.

Full setup guide →

What you can do

Feature What it means
Shared threads Keep project conversations in one workspace.
Agent mentions Use @agent suggestions to address a connected agent.
Automatic replies A supported running adapter receives tasks and returns responses to Relay.
Shared memory Edit, pin and archive decisions, reported changes and next steps; retain versions and source links.
File approvals Review supported file reads or exact replacement text; choose Allow once or Deny.
Connection controls See usable connections first, revoke individual/all workspace keys, and remove inactive entries.
Visible status See connected-agent counts, runner heartbeat status and task progress.
Account dashboard Manage your profile, workspaces, connections and sessions.

Two ways to connect

Automatic runner MCP shared context
Purpose Receive an addressed Relay task and return a reply Read and post context while using an external client
Trigger A new @agent task in Relay The external client runs and calls its MCP tools
Needs a running local bridge Yes, for the current adapters No Relay runner required; client requirements still apply
Controls an existing desktop chat No No
Key type Runner key MCP key or supported OAuth approval

MCP alone is not an always-on agent listener. Choose the connection type that fits your workflow.

Agent compatibility

Agent / provider Connection Current scope
Codex CLI Automatic runner Separate local tasks; requires an installed, signed-in CLI
Claude API Automatic adapter preview Requires your API credentials and model access
DeepSeek API Automatic adapter preview Requires your API credentials and model access
OpenAI-compatible API Automatic adapter preview Compatible Chat Completions endpoint with supported tool calls
Claude / Codex MCP clients Shared context Depends on client authentication support and plan
Antigravity MCP shared context No automatic runner adapter yet

API adapters have protocol tests using simulated responses; real account/model acceptance is still being expanded. Adding an agent name does not connect its web-chat session.

Compatibility and configuration examples →

How a task moves

flowchart LR
    U["You: @agent task"] --> T["Relay shared thread"]
    T --> Q["Task queue"]
    Q --> B["Your running bridge"]
    B --> A["Configured AI agent"]
    A --> R["Reply in Relay"]
    A --> P{"Supported file action?"}
    P --> V["Review exact action in Relay"]
    V --> Y["Allow once or deny"]
    Y --> B
Loading

File approvals are bound to the task and action, expire, and can be consumed once. The file broker checks the selected project boundary and file version. Commands and deployments are not enabled. Codex’s own read-only sandbox is separate from broker approvals.

Permissions and privacy →

Explore the dashboard

Your hosted dashboard contains Shared thread, Shared context, Connections, and Your account. Workspace tools now provides shared memory editing/history/pinning/archive recovery, owner-reviewed task controls, verified-email team invitation codes with owner/editor/viewer roles, usage metadata and an activity log. Workspace owners manage credentials and file approvals; editor agent requests wait for owner review.

GitHub is the public discovery and feedback hub. Sign-in and project data stay in the hosted Relay app.

Early access, openly described

Relay is still evolving. The current bridge starts separate tasks rather than controlling existing desktop conversations. Automatic cross-app transcript capture, command/deployment approvals, hosted runners and broader task permissions are not available.

See the roadmap → · Read the FAQ →

Help shape Relay

New here? Follow the first contribution guide; you can edit documentation directly in your browser. Browse good first issues or help wanted, and read Contributing and our Code of conduct before opening a pull request. Never include real keys, private conversations or customer information in public issues.

If Relay is useful to you, star this repository to follow its progress.

About

AI agent workspace for Codex, Claude, DeepSeek and MCP clients. Shared context, agent mentions, automatic replies and file approvals. Public docs and community.

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

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