c6b04f302a
* fix(server): stop a steered prompt from deadlocking on a permission Claude parks its turn inside the blocking canUseTool callback while a plan approval or a tool prompt waits for an answer. The SDK stops to read its input stream there, so a message sent at the open card is queued and never read. The user must reject the card or interrupt the agent by hand, and then send the message a second time. Deny the pending permissions after the steer is admitted. The prompt is already in the SDK input queue when the permission callback returns, so Claude reads it in the same turn. Plan mode stays on and no turn restarts. One pass is not enough. A turn that made several tool calls opens its next request 10 to 300 milliseconds after the previous one is answered, so a single snapshot advances the batch by one and parks the turn again. The Claude adapter already tracks the steers the SDK has not read, so expose that as an optional AgentSession.hasUnreadSteer and answer each new request while that method reports the prompt as unread. The release stops the moment the prompt is read, so a permission the agent asks for after it acts on the message still reaches the user. Only the two entrypoints that carry a message from a person set the flag. A scheduled prompt, a child-finished notification, and an agent-to-agent prompt must not answer a card the user is looking at. Denial left no timeline row, so a denied plan disappeared from the transcript. Claude and Codex now push a plan_approval row with approved: false. For Codex the row comes from resolvePlanPermission, which is the path that dismissPendingPlanApprovals also uses. In the app, queue mode held the message until the turn ended, and a parked turn never ends. The composer now sends while a permission is pending, and the button label agrees with the submit path. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(server): keep a post-prompt permission out of the release The release loop answered the pending requests before it asked whether the agent had read the prompt. The agent can read the prompt during a poll interval and then open a permission request because of it. The next pass denied that request, so a decision that belongs to the user was made for them. The loop now asks first and answers second. The first pass stays unconditional, because a provider that does not report unread steers must still get one release. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(server): make steer permission clearing provider-owned Keep the daemon policy explicit while letting each provider queue the steer and release permissions that block it. This removes timing-based polling and preserves rejected plans as canonical timeline rows. * fix(server): preserve omitted steer options Only construct provider steer options when permission clearing is requested. System prompts otherwise keep the existing undefined options contract. --------- Co-authored-by: Claude Opus 5 <noreply@anthropic.com> Co-authored-by: Mohamed Boudra <boudra.moha@gmail.com>
Paseo
One interface for Claude Code, Codex, Copilot, OpenCode, and Pi agents.
Run agents in parallel on your own machines. Ship from your phone or your desk.
- Self-hosted: Agents run on your machine with your full dev environment. Use your tools, your configs, and your skills.
- Multi-provider: Claude Code, Codex, Copilot, OpenCode, and Pi through the same interface. Pick the right model for each job.
- Voice control: Dictate tasks or talk through problems in voice mode. Hands-free when you need it.
- Cross-device: iOS, Android, desktop, web, and CLI. Start work at your desk, check in from your phone, script it from the terminal.
- Privacy-first: Paseo doesn't have any telemetry, tracking, or forced log-ins.
Getting Started
Paseo runs a local server called the daemon that manages your coding agents. Clients like the desktop app, mobile app, web app, and CLI connect to it.
Prerequisites
You need at least one agent CLI installed and configured with your credentials:
Desktop app (recommended)
Download it from paseo.sh/download or the GitHub releases page. Open the app and the daemon starts automatically. Nothing else to install.
To connect from your phone, open Settings → your host → Pair Device.
CLI / headless
Install the CLI and start Paseo:
npm install -g @getpaseo/cli
paseo
Paseo starts locally, then asks whether to enable the end-to-end encrypted relay for device pairing. If you decline, connect directly over TCP, Tailscale, or another VPN. This path is useful for servers and remote machines.
For full setup and configuration, see:
Docker
Run the Paseo daemon and self-hosted web UI in Docker:
docker run -d --name paseo \
-p 6767:6767 \
-e PASEO_PASSWORD=change-me \
-v "$PWD/paseo-home:/home/paseo" \
-v "$PWD:/workspace" \
ghcr.io/getpaseo/paseo:latest
Open http://localhost:6767 after it starts. Extend the base image with the agent CLIs you use, then provide credentials through environment variables or the persistent /home/paseo volume. See the Docker documentation for full setup details.
CLI
Everything you can do in the app, you can do from the terminal.
paseo run --provider claude/opus-4.6 "implement user authentication"
paseo run --provider codex/gpt-5.5 --worktree feature-x "implement feature X"
paseo ls # list running agents
paseo attach abc123 # stream live output
paseo send abc123 "also add tests" # follow-up task
# run on a remote daemon
paseo --host workstation.local:6767 run "run the full test suite"
See the full CLI reference for more.
TypeScript SDK
Build issue integrations, dashboards, and orchestration services with @getpaseo/client:
import { createPaseoClient } from "@getpaseo/client";
const client = createPaseoClient({ url: "ws://127.0.0.1:6767/ws" });
await client.connect();
const agent = await client.agents.create({
config: { provider: "codex/gpt-5.5" },
cwd: "/Users/me/dev/storefront",
prompt: "Review the current diff and name the riskiest change.",
});
const result = await agent.waitForFinish();
console.log(result.lastMessage);
await client.close();
See the SDK quickstart, recipes, and API reference.
Skills
Skills teach your agent to use Paseo to orchestrate other agents.
npx skills add getpaseo/paseo
Then use them in any agent conversation:
/paseo-handoff— hand off work between agents. I use this to plan with Claude and then handoff to Codex to implement./paseo-advisor— spin up a single agent as an advisor for a second opinion, without delegating the work itself./paseo-committee— form a committee of two contrasting agents to step back, do root cause analysis, and produce a plan.
Development
Quick monorepo package map:
packages/server: Paseo daemon (agent process orchestration, WebSocket API, MCP server)packages/app: Expo client (iOS, Android, web)packages/cli:paseoCLI for daemon and agent workflowspackages/desktop: Electron desktop apppackages/relay: Relay transport and encryption used by the daemon and clientspackages/website: Marketing site and documentation (paseo.sh)
Common commands:
# run all local dev services
npm run dev
# run individual surfaces
npm run dev:server
npm run dev:app
npm run dev:desktop
npm run dev:website
# build the server stack
npm run build:server
# repo-wide checks
npm run typecheck
Related projects
- getpaseo/paseo-relay — official distributed relay, written in Elixir
- paseo-skins — community themes and a zero-patch desktop theme loader with an Agent Skill
- paseo-vscode — VS Code extension
License
AGPL-3.0