Mohamed BoudraandGitHub 308e9af845 Add reusable agent profiles (#3208)
* Search models across all providers from the picker root

* Store agent profiles in daemon config and apply agent config in one RPC

An agent profile is a named bundle of provider, model, mode, thinking
option, feature values and notes, stored host-wide next to terminal
profiles. It carries no system prompt: AgentSessionConfig.systemPrompt is
creation-only, so a profile holding one would apply when starting an agent
and silently do nothing when applied to a running one.

Applying a profile through the four single-field RPCs can fail halfway and
leave an agent matching no profile, so agent.config.apply takes the whole
bundle. Model runs first because a thinking option only means anything
against the model that offers it.

Old daemons parse their persisted config strictly and would drop an
unknown agentProfiles key, making a save appear to succeed and vanish, so
both capabilities are advertised on server_info for the client to gate on.

list_profiles exposes the profiles to orchestrating agents, which read the
notes to pick one and copy its values into create_agent.

* Add the agent profiles settings section

Profiles live behind one module boundary so removing the feature is a
directory plus one mount, which is what favourites never was. The picker
and composer will ask for rows and an apply function rather than learning
what a profile contains.

The edit form follows the form-model pattern instead of the terminal
profile modal's per-field state, because provider selection cascades into
which models, modes, thinking levels and features exist below it.

The section is gated on server_info.features.agentProfiles: an older daemon
drops the key on write, and a save that appears to work and then vanishes
is worse than an unavailable state.

* Document agent profiles and name the four senses of profile

The glossary reserved Profile for HostProfile, terminal profiles owned the
user-facing word, and custom-providers.md used it for provider aliases.
Agent profile is now the term, with all four cross-referenced.

data-model.md never documented terminalProfiles either, so both profile
lists are backfilled together along with the whole-list patch semantics and
why absent and empty differ.

* Pin agent profiles to the model picker and delete favourites

Applying a profile writes its values into the agent controls and is then
forgotten, so rows carry no checkmark and no selected state: after applying,
nothing is selected. Chevron still means navigate deeper, so the absence of
one is what marks a row as an action.

A running agent is its provider's process and agent.config.apply carries no
provider, so the live picker only offers profiles matching the agent's
provider rather than showing rows that cannot do what they say. The draft
path has no such limit and switches provider freely.

Draft feature values go through preferences rather than the feature
callback alone, because the draft feature hook clears local values whenever
the provider changes and a provider-switching profile would lose them.

Favourites are deleted rather than migrated: they were device-local
AsyncStorage keyed by provider and model, while profiles are host-wide
daemon config. ProviderSelectionModelRow.favoriteKey stays as row identity
and moves to its real owner; renaming it is its own commit.

* Cover agent profiles and cross-provider search with E2E specs

Model rows expressed selection only as a checkmark glyph, which assistive
tech cannot see and a spec cannot assert. Rows that draw the indicator now
carry aria-selected; profile rows deliberately carry none, because a
profile is an action rather than a selection. That is what makes "nothing
is marked selected after applying a profile" a real assertion instead of a
tautology, with the materialized model one level down as the control.

The search fixture extends claude rather than mock: provider-config.ts
only allows the six shipped providers as extends targets, so a derived
provider cannot inherit the dev-only mock provider.

* State what applying a config bundle does on partial failure

applyBundle is not a transaction and the earlier commit message implied it
was. A step that rejects aborts the rest and the steps that already applied
stay applied, which a profile omitting modelId can reach: provider setters
validate against the agent's live model, so mode can land while a feature
that model does not support is rejected.

Nothing is hidden by that. Every setter emits agent state before returning,
so what applied is streamed to the client next to the rejected response.
Rolling back would re-invoke the setters that just failed, usually against
a session that is gone, and pre-flight validation would restate each
provider's model-dependent checks where they would drift from the setters
that own them.

What sending the bundle in one request removes is the multi-round-trip
failure class: interruption between hops, and interleaving with another
client. The test already pinned this behaviour; its name now says so.

* feat(agent-profiles): refine profile discovery and appearance

Make profiles discoverable from empty and provider-scoped model pickers, keep global search stable and virtualized, and move profile settings under Agents. Replace emoji identity with a shared Lucide icon and host-color picker, while requiring concrete provider selections so profiles materialize predictably.

* fix(agent-profiles): defer profile swatch styles

Resolving Unistyles proxies at module load can freeze the temporary startup color scheme before the persisted theme is restored. Keep only style-key names at module scope and resolve the selected swatch during render.
2026-08-11 17:42:35 +02:00
2026-08-11 17:42:35 +02:00
2026-08-09 13:28:13 +02:00
2026-02-25 13:53:23 +07:00
2026-08-09 13:30:33 +02:00

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Paseo

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One interface for Claude Code, Codex, Copilot, OpenCode, and Pi agents.

Paseo app screenshot

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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:

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: paseo CLI for daemon and agent workflows
  • packages/desktop: Electron desktop app
  • packages/relay: Relay transport and encryption used by the daemon and clients
  • packages/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

License

AGPL-3.0

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