OpenClaw 2026.2.23: Kilo Gateway & Moonshot Support

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🕷️Read original on OpenClaw (GitHub Releases)

#prompt-caching #ai-gateways #session-management #ssrf-securityopenclaw

💡New Kilo/Moonshot providers + prompt caching docs boost agent infra efficiency

⚡ 30-Second TL;DR

What Changed

Kilo Gateway provider with kilocode/anthropic/claude-opus-4.6 defaults

Why It Matters

Enhances multi-provider flexibility for AI agents, improves security and reliability in production deployments, and reduces costs via better caching and cleanup.

What To Do Next

Run 'openclaw doctor --fix' to migrate SSRF config, then test Kilo Gateway with kilocode models.

Who should care:Developers & AI Engineers

🧠 Deep Insight

Web-grounded analysis with 6 cited sources.

🔑 Enhanced Key Takeaways

•OpenClaw originated as Clawdbot and Moltbot before rebranding to its current name, evolving from a basic bot to a full self-hosted AI agent runtime[1][2].
•It operates as a persistent Node.js Gateway process with five core subsystems: channel adapters for message normalization, session manager, message queue, agent runtime, and control plane WebSocket API on port 18789[3].
•The heartbeat daemon runs every 30 minutes (configurable) to read HEARTBEAT.md, decide on actions, and execute proactive tasks like inbox monitoring or cron-like jobs without user prompts[3][4].

🛠️ Technical Deep Dive

•OpenClaw's architecture includes a local gateway as the control plane connecting to LLMs (e.g., Anthropic Claude, OpenAI, DeepSeek, Ollama) via user API keys and inward to messaging channels like Telegram, WhatsApp, Discord[1][2][3].
•Persistent memory is stored locally as Markdown files on disk, enabling long-term recall of interaction history, user habits, and personalization over weeks[1][3].
•Core subsystems in the Node.js gateway: channel adapters normalize messages from various platforms, session manager isolates contexts, message queue serializes runs, agent runtime handles model-tool-feedback loops, control plane exposes WebSocket API[3].
•Launched via 'openclaw gateway' command, it supports 50+ integrations including productivity tools, smart home devices, and automation, with local execution of shell commands, file management, and web interactions[2][3].

🔮 Future ImplicationsAI analysis grounded in cited sources

OpenClaw's local execution and open-source nature will accelerate adoption among developers avoiding vendor lock-in by 2026

Its self-hosted model with bring-your-own-key eliminates subscriptions and cloud dependencies, appealing to the growing demand for privacy-focused AI agents as noted in multiple 2026 guides[1][2][3].

Proactive heartbeat automation positions OpenClaw to dominate personal task orchestration over reactive chatbots

The configurable daemon enables independent monitoring and execution, differentiating it from prompt-only assistants in developer and organizational use cases[3][4].