- Server: wrap licenseKeys.activate() in try/catch — if activation limit
reached, treat as already-activated and proceed to store the key
- Web: switch activateFromCheckout from form() to command() pattern for
programmatic invocation with proper error handling
- Activate page: auto-fires on mount, shows spinner/error states, retry button
- Use $env/dynamic/private instead of process.env (SvelteKit convention)
- Fail fast if USESEND_API_KEY is missing
- Await sendEmail with try/catch + console.error (was silently discarded)
- Fallback for user.name in email greeting
- Fix open redirect on login redirect param
- Add license activation flow: server validates/activates keys via Polar SDK
- Auto-activate from Polar checkout redirect (checkout_id in URL)
- Gate dashboard behind license activation (redirect to /activate if no plan)
- Preserve redirect URL through login flow for post-purchase activation
- Show plan status badge in sidebar and overview page
- Add account section to settings (email, plan, license key)
- Add svelte-sonner toasts with custom black theme and iconify icons
- Improve validation messages across all forms
- Update API key prefix to droidclaw_
- Add cursor pointer globally for clickable elements
- Support Polar sandbox mode via POLAR_SANDBOX env flag
Railway proxy closes idle DB connections after ~60s, causing
CONNECTION_CLOSED errors on stale sockets. Set idle_timeout=20s and
max_lifetime=5m so postgres-js recycles connections before they die.
Also fix sendCommand to fall back to persistent device ID on reconnect.
Cookie forwarding between dash.droidclaw.ai and tunnel.droidclaw.ai was
unreliable. Now the web app passes userId + shared internal secret via
headers. Also removes debug logging from device auth and session middleware.
DataStore flow re-emissions were resetting editingApiKey via remember(apiKey),
hiding the save button mid-edit. Now uses null sentinel to track edit state
independently from stored value.
Reverts middleware and dashboard WS to direct DB session lookups.
Replaces auth.api.verifyApiKey in device WS with direct DB query
using SHA-256 hash matching, removing dependency on BETTER_AUTH_SECRET
for auth validation.
Swipe coordinates were hardcoded for 1080x2400 screens, causing scrolls
to fail on devices with different resolutions. Now reads screenWidth and
screenHeight from DeviceInfo and computes coordinates proportionally.
readme rewritten with ascii diagrams, detailed setup, and conversational tone.
root package.json updated with packageManager field for bun, web workspace,
and build/start scripts pointing to web/ for railway railpack compatibility.
Skills (copy_visible_text, find_and_tap, submit_message, read_screen,
wait_for_content, compose_email) were CLI-only using direct ADB. The
server prompt advertised them but they silently failed when chosen.
Now intercepted in the agent loop before actionToCommand() and executed
server-side using existing WebSocket primitives (get_screen, tap, swipe,
clipboard_set). Each skill replaces 3-8 LLM calls with deterministic
server-side logic.
The UI agent had no memory of previous actions — each step was a fresh
single-shot LLM call. After typing and sending a message, the LLM saw
an empty text field and retyped the message in a loop.
- Add RECENT_ACTIONS (last 5 actions with text/result) to user prompt
- Add chat app completion detection rule to dynamic prompt
- Add send-success hints for WhatsApp and Messages apps
- Add git convention to CLAUDE.md (no co-author lines)
- Add empty goal guard in parser (returns done instead of passthrough)
- Replace `as any` casts in pipeline.ts with proper ActionDecision types
- Add runtime type guards for untrusted LLM output in classifier
- Add intent action to dynamic prompt so UI agent can fire intents
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace preprocessor+runAgentLoop with runPipeline in both device.ts
(WebSocket) and goals.ts (REST). The pipeline orchestrates: deterministic
parser (stage 1) -> LLM classifier (stage 2) -> lean UI agent (stage 3).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When pipelineMode is enabled in AgentLoopOptions, the loop uses
buildDynamicPrompt() with per-screen context (editable fields,
scrollable elements, app hints, stuck state) instead of the static
mega-prompt. Legacy mode (default) is unchanged.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Android: fetch installed apps via PackageManager, send to server on connect
- Android: add QUERY_ALL_PACKAGES permission for full app visibility
- Android: fix duplicate Intent import, increase accessibility retry window
- Android: default server URL to ws:// instead of wss://
- Server: store installed apps in device metadata JSONB
- Server: inject installed apps context into LLM prompt
- Server: preprocessor resolves app names from device's actual installed apps
- Server: add POST /goals/stop endpoint with AbortController cancellation
- Server: rewrite session middleware to direct DB token lookup
- Server: goals route fetches user's saved LLM config from DB
- Web: show installed apps in device detail Overview tab with search
- Web: add Stop button for running goals
- Web: replace API routes with remote commands (submitGoal, stopGoal)
- Web: add error display for goal submission failures
- Shared: add InstalledApp type and apps message to protocol
- Add device/session/step DB persistence in server agent loop
- Add goal preprocessor for compound goals (e.g., "open YouTube and search X")
- Add step-level logging to agent loop
- Fix dashboard WebSocket auth (direct DB token lookup instead of auth.api)
- Fix web layout to use locals.session.token instead of cookie
- Add dashboard-ws.svelte.ts WebSocket store with auto-reconnect
- Rewrite devices page with direct DB queries and real-time updates
- Add device detail page with live step display and session history
- Add Android companion app resources, themes, and screen capture consent
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add deleteKeySchema for proper FormData validation
- Return { deleted: true } from deleteKey for change tracking
- Use $state for keysPromise to refresh list after create/delete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Deploying to Railway instead of Cloudflare, so swap
@sveltejs/adapter-cloudflare for @sveltejs/adapter-node.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Server-side agent loop that adapts the CLI kernel to work over WebSocket.
Three new modules: stuck detection, LLM provider abstraction (OpenAI/Groq/
OpenRouter), and the main perception-reasoning-action loop. Also wires up
the goals route to start agent loops with duplicate-device protection.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
find_and_tap now scrolls down and rescans (up to 10 times) when the
target element isn't visible on the current screen. Stops as soon as
the element is found — no wasted scrolls. This removes the need for
LLMs to manually scroll-and-check in workflow prompts.
Also simplifies the Gemini-to-WhatsApp workflow prompts.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Multi-app workflow: ask Gemini about droidclaw.ai, copy response,
switch to WhatsApp, find contact, paste and send.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Groq (free tier, API key) is the primary setup path.
Ollama (local, no key) shown as secondary option.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Site and README now show both curl one-liner and manual steps.
Explicit note that bun is required (node/npm won't work).
Install script improvements: version check, node detection warning,
curl check, Windows detection, .git dir validation, shallow clone,
fallback on bun install --silent, post-install missing dep summary.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
One-liner install: curl -fsSL https://droidclaw.ai/install.sh | sh
Auto-installs bun and adb, clones repo, sets up .env.
Updated site meta tags and canonical URL to droidclaw.ai.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reuses OpenAIProvider via Ollama's OpenAI-compatible API at localhost:11434.
No API key needed - just install Ollama, pull a model, and set LLM_PROVIDER=ollama.
Vision models (llava, llama3.2-vision) supported for screenshot fallback.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Update all GitHub links from thisuxhq to unitedbyai
- Add contributors section with sanju sivalingam and somasundaram mahesh
- Update meta author and footer attribution to unitedby.ai
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New --flow mode executes scripted YAML steps without LLM, mapping 17
commands (tap, type, swipe, scroll, etc.) to existing actions. Element
finding uses accessibility tree text/hint/id matching.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- New actions: open_url, switch_app, notifications, pull_file, push_file, keyevent, open_settings
- Workflow system: runWorkflow() for multi-app sub-goal sequences with --workflow CLI flag
- Export runAgent() with {success, stepsUsed} return for workflow integration
- Fix clipboard_set shell escaping (single-quote wrapping matching skills.ts)
- Improve type action escaping for backticks, $, !, ?, brackets, braces
- Move parseJsonResponse to llm-providers.ts and export it
- Update SYSTEM_PROMPT and Zod schema for 22 total actions
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
