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[Release] openclaw/openclaw v2026.7.1-beta.2: openclaw 2026.7.1-beta.2
OpenClaw v2026.7.1-beta.2 introduces GPT-5.6 support, external harness attachment via `openclaw attach`, Telegram Codex workflows with login and steering, event-driven cron runs with `on-exit` scheduling, and native app improvements including iOS 26 visual system adoption. The release also adds ClawRouter for dynamic model discovery with credential-scoped routing, richer iMessage messaging with native polls, safer scoped conversations via capability profiles, and enhanced Control UI navigation with reasoning-effort controls. Extensive fixes address Telegram durability, agent reliability, provider safety, channel delivery, cron correctness, and memory recovery across multiple platforms.
- GPT-5.6 model family now recognized across catalog, capability, and runtime selection paths for broader LLM support
- `openclaw attach` command enables external harness attachment to existing Gateway sessions for resumable Codex-style workflows
- Telegram integration supports `/login` for Codex pairing, active run steering, and transient API failure recovery
- +7 more key points...
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Andrew
Fraud Shield – AI Multi-Agent Scam Detection System | Google ADK | Kaggle Capstone Demo
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Nazneen Shaik
BenchPilot AI | Multi-Agent Workforce Allocation Assistant | Google ADK | Kaggle Capstone 2026
BenchPilot AI is a multi-agent workforce allocation assistant built with Google's Agent Development Kit (ADK) and Gemini that optimizes team resource distribution. The system uses multiple specialized agents to analyze project requirements, evaluate team capabilities, and make intelligent allocation decisions. This Kaggle Capstone 2026 project demonstrates enterprise-grade AI workforce management using modern agent orchestration patterns.
Sucharita Mukherjee
Skills & Tools
Build an AI Travel Assistant with Google ADK | EcoPath AI Agent | Kaggle Capstone
EcoPath is an AI-powered travel assistant built with Google Agent Development Kit (ADK) and Gemini AI that helps users plan sustainable, eco-friendly trips. The project demonstrates how to leverage Google's ADK framework to create intelligent agents capable of understanding travel preferences and recommending environmentally conscious destinations and activities. This Kaggle Capstone project showcases practical implementation of modern AI agent development for real-world travel planning use cases.
Megha Neethimani
Building an AI Travel Planner with Google ADK, MCP & Gemini | Travel-Mate
Travel-Mate is an AI-powered travel concierge built with Google's Agent Development Kit (ADK), Model Context Protocol (MCP), and Gemini API. It simplifies vacation planning by integrating multiple tools and data sources to provide personalized travel recommendations, itinerary generation, and real-time information. The system demonstrates how to combine agentic AI capabilities with external APIs to create a practical, multi-step travel planning application.
Yaswitha Dandamudi
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