⭐️ 280K GitHub Stars! OpenClaw Major Update
⭐️ 280K GitHub Stars! OpenClaw Major Update
GPT-5.4 + Hot-Swappable Memory + Plugin Marketplace
The most significant upgrade in OpenClaw history — an architecture-level overhaul. Essential reading for developers.
📅 Version 2026.3.7 | 🤖 Open-Source AI Agent Framework
✦ MAJOR UPDATE
1️⃣ GPT-5.4 Official Support
Most anticipated feature: OpenClaw now officially supports the GPT-5.4 model. Seamlessly call GPT-5.4 through OpenClaw's Agent orchestration system to execute complex, multi-step workflows — fully autonomous, zero manual intervention.
Example: Automated Market Analysis Report
Data Search → Information Synthesis → Chart Generation → Report Output
javascript
// Data Search → Information Synthesis → Chart Generation → Report Output
const agent = newAgent({
model: 'gpt-5.4', // ✦ Now Supported
tools: ['web_search', 'chart_gen'],
autonomy: 'full'
});
agent.execute('Analyze Q1 financial data, generate charts and executive report');
💡 GPT-5.4's advanced reasoning + OpenClaw's tool orchestration = A truly autonomous AI employee
⚡ DEVELOPER FEATURE
2️⃣ Hot-Swappable Memory System
Dynamic memory module replacement during runtime — no system restart required.
Think of it as hot-swapping an AI's "memory drive" without shutting down: unplug the old one, plug in the new one, and continue seamlessly.
🗂️ Load different knowledge bases for different projects
🔬 A/B test different memory strategies
⚡ Production hot-updates with zero downtime
🔬 A/B test different memory strategies
⚡ Production hot-updates with zero downtime
javascript
// Swap memory modules at runtime — no Agent restart needed
await agent.memory.swap('project-alpha-v2');
// Different memory modules = different "knowledge USB drives"
const memories = {
projectAlpha: loadMemory('./knowledge/alpha.zip'),
clientBeta: loadMemory('./knowledge/beta.zip'),
};
🔌 PLUGIN SYSTEM
3️⃣ Context Engine Plugin Architecture
OpenClaw 3.7 introduces a new Context Engine plugin interface, empowering developers to integrate:
• RAG (Retrieval-Augmented Generation)
• Knowledge Graphs
• Lossless Context Compression Algorithms
• Knowledge Graphs
• Lossless Context Compression Algorithms
Break through traditional LLM context window limits — handle longer documents and more complex tasks with ease.
javascript
// Register a custom context engine plugin
agent.use('context-engine', {
strategy: 'lossless-compress',
maxContext: 1_000_000, // 1M tokens
rag: { provider: 'pinecone' }
});
agent.use('context-engine', {
strategy: 'lossless-compress',
maxContext: 1_000_000, // 1M tokens
rag: { provider: 'pinecone' }
});
🎯 ENHANCEMENT
4️⃣ Persistent Channel Binding
Long-term, stable binding between AI Agents and platforms like Feishu, Telegram, and WeChat — not just temporary chats, but persistent task-execution partners.
Combined with Hot-Swappable Memory, Agents can seamlessly switch between platforms while maintaining independent contextual memory per channel — truly becoming your dedicated AI persona.
📊 Ecosystem at a Glance
|
Metric
|
Value
|
|---|---|
|
⭐ GitHub Stars
|
280,000+
|
|
🔌 Skills Ecosystem
|
5,000+
|
|
🧠 Max Context Window
|
1,000,000 tokens
|
🔗 Supported Platforms
WeChat Feishu Telegram Slack Discord
🤖 Supported Models
GPT-5.4 Claude DeepSeek V3 Kimi-2.5 GLM-5 MiniMax M2.5
🔧 What This Means for You
👨💻 For Developers
Build more powerful, automated workflows with these new capabilities.
Build more powerful, automated workflows with these new capabilities.
👤 For End Users
Enjoy a smarter, more stable, and longer-lasting memory experience through OpenClaw-powered products like QClaw.
Enjoy a smarter, more stable, and longer-lasting memory experience through OpenClaw-powered products like QClaw.
Smarter · More Stable · Memory That Lasts
ℹ️ Note for Mini-Program Display:
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