mirror of
https://github.com/getpaseo/paseo.git
synced 2026-10-23 09:42:53 +00:00
e22ad117fd
* Stream assistant text at a steady rate instead of in arrival lumps Assistant text arrived in lumps and was painted that way. The daemon coalesces one message per 60ms window, and that window carries however many characters the model produced in it, which swings by an order of magnitude within a turn. Painting each delta as it landed made the size of those lumps visible. Three changes: - The agent stream coalescer is now leading + trailing. The first delta after an idle window flushes synchronously instead of waiting a full window, matching the invariant TerminalOutputCoalescer already documents. The window stays at 60ms; shrinking it would raise message rate on a loop that already contends with terminal frames and relay encryption, without making the stream smoother. - The client reducer queue commits on a frame instead of an arbitrary 48ms timer, with the timer kept as a ceiling so a hidden tab still advances. - Assistant and reasoning text are revealed at a rate derived from the backlog rather than from arrival timing. Arrival changes the target, not the rate. The store keeps the full text and only the rendered slice is paced, so copy, selection, the chat outline, and scroll geometry all stay consistent with what is on screen. The leading flush means a burst's first chunk lands as its own timeline row. The projection already merges contiguous same-turn rows and clients read the projected timeline, so history is unchanged; the server tests that assert on raw rows were updated for the extra row. Measured on Expo web against a local dev daemon. Mock bursty-stream provider, 6s samples, paint-on-arrival vs paced: frames that advanced the text 55 -> 244, chars-per-frame CV 2.66 -> 1.44, gap p50 100ms -> 17ms. Real Claude Haiku agent over 52s: 84% of frames advance the text, CV 1.29, gap p50 and p95 both 17ms (one frame at 60Hz). Adds a bursty-stream mock model with seeded burst sizes, a gated browser perf spec, and docs/agent-stream-performance.md. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * Address review: safe reveal boundaries and a testable seam Two findings from the PR review. Unicode boundaries. Slicing the revealed text at an arbitrary index could strand a lone surrogate, which paints as a replacement glyph, or split an emoji ZWJ sequence so a family briefly rendered as its members. Both were visible for a frame or two mid-stream — the exact flicker the paced reveal exists to remove. The rendered cut is now pulled back off surrogate pairs, combining marks, variation selectors, skin tone modifiers, and ZWJ joins. The reveal counter stays monotonic and only the painted boundary moves, so a long cluster cannot stall the reveal. Test placement. The hook test used JSDOM, @testing-library renderHook, and monkey-patched requestAnimationFrame, all of which docs/testing.md rules out; it prescribes fixing the missing seam instead. The reveal policy is now a pure state machine in text-reveal.ts (begin/retarget/advance/ complete/visible) covered by plain unit tests with no environment, and the hook is reduced to the frame-clock binding. Rendered behavior is left to the browser spec, which no longer carries frame sampling and statistics in its body — those moved to e2e/support/helpers/stream-smoothness.ts. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * Measure total painted text, not the tail message The smoothness sampler read the length of the last assistant-message element. A real turn emits many assistant messages, so that element keeps changing identity and its length is not monotonic — handovers read as resets, and a stream that was plainly moving on screen reported almost no growth at all. Sampling the total across every assistant message fixes it. This invalidated the numbers previously recorded for the real-agent run, so the doc table is replaced with a fresh A/B taken with the corrected sampler against a Claude Haiku agent: frames that advanced the text 6% -> 87%, chars-per-frame CV 4.11 -> 1.86, gap p50 317ms -> 17ms, p95 383ms -> 17ms. The paced column also reported zero Unicode defects across a stream containing emoji, which exercises the reveal boundary clamp end to end. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * perf(agent-stream): harden paced text reveal Use standards-compliant grapheme segmentation when available and preserve full arrivals on older runtimes. Cap reveal commits at 60Hz and measure the real browser rendering path so high-refresh displays stay smooth without rendering at hardware frame rate. * Hold back trailing fragments split by arrival boundaries The reveal boundary is not the only place a grapheme gets cut. The daemon's coalescing window ends a delta wherever the window closes, so a caught-up reveal can be handed half a cluster and paint it. Measured on a mixed-script Haiku stream: five frames in ~350 ending in a single regional indicator, i.e. half a flag on screen for a frame. While the turn is streaming, a trailing fragment that cannot stand alone — a dangling high surrogate, a trailing joiner, an odd regional indicator — now waits for the rest of its cluster. Once the turn ends everything received is painted, because nothing more is coming. Complements the grapheme-boundary clamp, which handles the reveal cut; this handles the arrival cut. The same stream now measures one such frame in ~400 rather than five. The remainder is a flush boundary that coincides with the end of an assistant message, putting the two halves in different messages, which the client cannot rejoin — that one belongs in the coalescer. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> --------- 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