* Batch GitHub PR status polls into aliased GraphQL requests The PR status poller ran one `gh pr view` (GraphQL-backed) plus a per-PR facts query for every workspace on its own timer, so cost scaled linearly with workspace count and exhausted the 5,000 pts/hour GraphQL quota machine-wide past ~50 workspaces (#3587, #2470). Replace the per-target timers with a global scheduler that snaps poll targets to a shared 5s grid and flushes all due targets together: - One aliased discovery query per batch of up to 25 targets (grouped by GH host) resolves PR identity, state, mergeability, and the merge facts that previously required a second GraphQL call per PR. - A second aliased query fetches statusCheckRollup contexts only for the PRs that matched. Checks for merged/closed PRs are frozen and cached by repo#number@headOid, so idle workspaces settle to the discovery query alone. - A failed batch backs off every target in it with one request spent; healthy aliases are recovered from the body gh still prints on stdout when a single alias errors (ForgeCommandError now carries stdout for this). - Targets whose origin slug/host is still resolving, and fork repos whose PR lives in the parent, fall back to the legacy per-target path for that cycle. Unowned lookups filter out other forks' PRs that share a branch name. Fixes #3587. Addresses the API budget in #2470. * fix(server): reserve the shared GitHub polling budget --------- 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-vscode — VS Code extension
License
Apache-2.0

