OpenClaw Developer Achieves AI Agent Breakthroughs with Uber and Restaurant Booking Automation
An OpenClaw developer has made significant progress in browser automation, moving beyond the limitations that previously blocked AI agents from interacting with real websites. The developer has successfully created agents that can autonomously complete complex tasks on live sites without scripted demos.
What Actually Works Now
The developer has achieved successful completion of full flows on two major platforms:
- Uber: The agent opens the app, enters pickup and destination locations, selects ride type, and reaches the confirmation screen
- Restaurant booking: The agent finds a restaurant, fills out reservation forms, and confirms bookings
These aren't scripted demonstrations. The agents navigate real websites, handle dynamic elements, and successfully bypass bot detection systems.
Current Technical Stack
The working solution consists of several integrated components:
- Stealth browser with persistent profiles and fingerprinting
- Residential proxy routing
- CAPTCHA solving integration
The developer notes this is functional but not yet a polished product—it's currently "a bunch of pieces duct-taped together that require manual setup."
Development Direction and Community Input
The developer wants to transform this proof-of-concept into something usable by any OpenClaw user, but is seeking community feedback before building the "ideal" version. The long-term vision is "install a skill, your agent gets a full browser environment with your saved sessions, and it can go do things on the web autonomously."
For immediate development, the developer is asking the community specific questions:
- What specific automation tasks have failed due to browser limitations?
- What sites/services do you wish your agent could use? (Uber, Airbnb, LinkedIn, government portals, food delivery, etc.)
- What format would be most useful right now?
The developer presents several format options for community consideration:
- a) An OpenClaw skill that gives your agent a stealth browser
- b) A standalone tool you run on a VPS and connect your agent to
- c) A desktop browser app that handles anti-detection, sessions, and fingerprinting out of the box
- d) Just a setup guide so you can wire the pieces together yourself
- e) Something else
The developer also asks whether users would accept a VPS requirement or need local machine functionality.
📖 Read the full source: r/openclaw
👀 See Also
Free macOS Menu Bar App Monitors Claude Usage in Real-Time
A developer built a free macOS menu bar app to monitor Claude usage entirely using Claude Code with Opus. The app shows 5-hour and 7-day session usage bars, context window fill percentage, and sends notifications when approaching limits.
OpenClaw Skill for Local Meeting Transcription with Whisper
A new OpenClaw skill called ghostmeet provides local meeting transcription using Whisper. It captures audio from browser tabs via a Chrome Extension and can generate summaries using Claude, with all audio and transcription processed locally on your machine.
Semble: Code Search for AI Agents Using 98% Fewer Tokens Than grep+read
Semble is an open-source code search library for AI agents that combines static Model2Vec embeddings with BM25, running entirely on CPU. It indexes a repo in ~250ms and answers queries in ~1.5ms, achieving 0.854 NDCG@10 — 99% of a 137M-parameter transformer's quality — while using 98% fewer tokens than grep+read.
memv: Open-Source Memory System for AI Agents
memv is an open-source memory system designed for AI agents that stores only unexpected information from interactions, reducing noise and redundancy.