AgentMT5 turns ideas into battle-ready MT5 code.
Type your strategy. Get full MQL5: EAs, Indicators, Autonomous Agents, APIs.
Then Debug, Review, Compile with an AI pipeline that hunts bugs 🩸🐶
Plug in Groq or Anthropic, bring your own key, ship faster.
Try it for free.
4 live agents. One cockpit.
Stop coding slow. Start deploying. ⚡️
https://metaquantuniverse.com
Type your strategy. Get full MQL5: EAs, Indicators, Autonomous Agents, APIs.
Then Debug, Review, Compile with an AI pipeline that hunts bugs 🩸🐶
Plug in Groq or Anthropic, bring your own key, ship faster.
Try it for free.
4 live agents. One cockpit.
Stop coding slow. Start deploying. ⚡️
https://metaquantuniverse.com
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MT5 Liqbot AI v10 LIVE RUN (US30 + DE40) ⚡️
Auto-learning trading tool with ML + RL, agentic execution, real-time logs, smart filters & risk management.
Try it for free 👉 https://metaquantuniverse.com
Auto-learning trading tool with ML + RL, agentic execution, real-time logs, smart filters & risk management.
Try it for free 👉 https://metaquantuniverse.com
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With MT5 Liqbot AI v10, you’re not running “a bot”… you’re unleashing a college of autonomous agents 🧠🤝
They debate, reason, and act collectively in real time: ML + Deep Learning + Reinforcement Learning, self-learning loops, an embedded LLM assistant, LSTM memory, and neural networks orchestrating the whole machine.
This isn’t trading automation.
It’s agentic market intelligence. ⚡️📈
Try it for free 👉 https://metaquantuniverse.com
They debate, reason, and act collectively in real time: ML + Deep Learning + Reinforcement Learning, self-learning loops, an embedded LLM assistant, LSTM memory, and neural networks orchestrating the whole machine.
This isn’t trading automation.
It’s agentic market intelligence. ⚡️📈
Try it for free 👉 https://metaquantuniverse.com
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While you're still begging ChatGPT like a 2024 peasant, I just built my first REAL Autonomous AI Agent… and it already makes everything else look pathetic 😂🔥
This beast runs on:
• Multi-LLM god-tier hub with Kimi K2.5 + GLM-5 (Chinese frontier models eating the competition)
• Real-time crypto market intelligence
• Persistent memory that never forgets
• Voice commands that actually execute
• Auto Canva visual wizardry
• Full MCP connectivity
• Plus a stupidly beautiful & intelligent Cara-3 avatar as my personal genius
I don’t have an agent. I have a digital overlord that works while I sleep.
Sorry not sorry — the future is already mine.
Built different. 😏
#AIAgents #AutonomousAI #Cara3
This beast runs on:
• Multi-LLM god-tier hub with Kimi K2.5 + GLM-5 (Chinese frontier models eating the competition)
• Real-time crypto market intelligence
• Persistent memory that never forgets
• Voice commands that actually execute
• Auto Canva visual wizardry
• Full MCP connectivity
• Plus a stupidly beautiful & intelligent Cara-3 avatar as my personal genius
I don’t have an agent. I have a digital overlord that works while I sleep.
Sorry not sorry — the future is already mine.
Built different. 😏
#AIAgents #AutonomousAI #Cara3
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Meet Agent Claw v4, my autonomous agent platform I’m about to push to production.
If you’re still using LLMs like “a smarter textbox”, you’re leaving 90% of the power on the table.
In this video, I demo how Agent Claw v4 turns multi-model AI into an actual agentic workflow: tool-augmented reasoning, multi-step pipelines, live code + UI rendering, persistent memory, voice, and real-time market feeds… all inside one cockpit.
What Agent Claw v4 does (in one sentence)
It’s a multi-provider, multi-model agent platform where you can pick the best model for the job (or let a router do it), connect external tools via MCP, and ship outputs that are closer to “systems” than “messages”.
Key features you’ll see in the demo
Multi-Model Chat with streaming tokens and performance stats
Battle Mode: run the same prompt against 2–3 models and compare outputs side-by-side
Pipeline Mode: chain multiple models into a step-by-step workflow (research → code → review, etc.)
Canvas: render HTML/SVG/React generated by the agent, live preview in-app
Persistent Memory (local IndexedDB): store project facts, preferences, context, and reuse them across sessions
Voice Mode: speech-to-text input + optional auto read-out responses
Live Market Feed (Binance WebSocket): real-time tickers injected into the agent context
MCP (Model Context Protocol) integrations: plug Agent Claw into external tools (APIs, databases, GitHub, filesystems, internal services) so it can do things, not just talk
The “fresh drop” 🧠🎥
Also included in the ecosystem: Agents Cara-3, released February 17, 2026.
It enables ultra-human webcam + voice conversation with intelligible, natural interaction. Ultra fresh. Ultra tech. Ultra mindblowing.
Model roster (the fun part): pick your brain, or let the router pick it
Agent Claw v4 supports multiple providers (Groq + OpenRouter today), with manual selection for precision and an intelligent router mode for “just do the right thing” workflows.
Groq side (speed demons + open-weight power)
Groq Compound (agentic tools enabled)
Compound Mini (faster, lightweight agentic)
OpenAI GPT-OSS 120B (open-weight flagship)
OpenAI GPT-OSS 20B (efficient, fast)
Meta Llama 3.3 70B (complex tasks)
Meta Llama 3.1 8B (ultra-fast)
Llama 4 Scout (MoE + vision)
Llama 4 Maverick (MoE + vision)
OpenRouter side (frontier buffet)
Z.ai GLM-5 (agentic frontier)
Moonshot Kimi K2.5 (multimodal, agent-ready)
MiniMax M2.5 (coding agent)
M2.5 Lightning (speed variant)
Qwen 3 32B (multilingual reasoning)
Qwen-Max (enterprise reasoning)
Qwen3 Coder 80B (code specialist)
DeepSeek V3.2 (frontier long-context)
DeepSeek R1 (full reasoning)
Mistral Devstral 2 (coding specialist)
Gemini 2.5 Flash (preview) (fast multimodal)
Gemini 2.5 Pro (preview) (top-tier reasoning)
And yes: Claude + GPT families too
Through a router/provider layer (and especially via aggregators), you can also tap into the big names like Claude Opus 4.6 (excellent for complex reasoning + coding) and the broader GPT family, depending on your setup and routing rules. Anthropic positions Claude Opus 4.6 as their latest-generation model for the most complex tasks, with strong coding/reasoning and large context options.
Routing logic (how it feels in practice)
Need fast agentic tool use → route to Groq Compound / Mini
Need deep reasoning → route to DeepSeek R1 / GLM-5 / Gemini Pro
Need hardcore coding → route to MiniMax M2.5 / Qwen Coder / Devstral
Need vision + multimodal → route to Gemini Flash/Pro or vision-capable Llama variants
Need premium “solve the hardest thing” mode → route to Claude Opus 4.6 (when enabled)
If you’re still using LLMs like “a smarter textbox”, you’re leaving 90% of the power on the table.
In this video, I demo how Agent Claw v4 turns multi-model AI into an actual agentic workflow: tool-augmented reasoning, multi-step pipelines, live code + UI rendering, persistent memory, voice, and real-time market feeds… all inside one cockpit.
What Agent Claw v4 does (in one sentence)
It’s a multi-provider, multi-model agent platform where you can pick the best model for the job (or let a router do it), connect external tools via MCP, and ship outputs that are closer to “systems” than “messages”.
Key features you’ll see in the demo
Multi-Model Chat with streaming tokens and performance stats
Battle Mode: run the same prompt against 2–3 models and compare outputs side-by-side
Pipeline Mode: chain multiple models into a step-by-step workflow (research → code → review, etc.)
Canvas: render HTML/SVG/React generated by the agent, live preview in-app
Persistent Memory (local IndexedDB): store project facts, preferences, context, and reuse them across sessions
Voice Mode: speech-to-text input + optional auto read-out responses
Live Market Feed (Binance WebSocket): real-time tickers injected into the agent context
MCP (Model Context Protocol) integrations: plug Agent Claw into external tools (APIs, databases, GitHub, filesystems, internal services) so it can do things, not just talk
The “fresh drop” 🧠🎥
Also included in the ecosystem: Agents Cara-3, released February 17, 2026.
It enables ultra-human webcam + voice conversation with intelligible, natural interaction. Ultra fresh. Ultra tech. Ultra mindblowing.
Model roster (the fun part): pick your brain, or let the router pick it
Agent Claw v4 supports multiple providers (Groq + OpenRouter today), with manual selection for precision and an intelligent router mode for “just do the right thing” workflows.
Groq side (speed demons + open-weight power)
Groq Compound (agentic tools enabled)
Compound Mini (faster, lightweight agentic)
OpenAI GPT-OSS 120B (open-weight flagship)
OpenAI GPT-OSS 20B (efficient, fast)
Meta Llama 3.3 70B (complex tasks)
Meta Llama 3.1 8B (ultra-fast)
Llama 4 Scout (MoE + vision)
Llama 4 Maverick (MoE + vision)
OpenRouter side (frontier buffet)
Z.ai GLM-5 (agentic frontier)
Moonshot Kimi K2.5 (multimodal, agent-ready)
MiniMax M2.5 (coding agent)
M2.5 Lightning (speed variant)
Qwen 3 32B (multilingual reasoning)
Qwen-Max (enterprise reasoning)
Qwen3 Coder 80B (code specialist)
DeepSeek V3.2 (frontier long-context)
DeepSeek R1 (full reasoning)
Mistral Devstral 2 (coding specialist)
Gemini 2.5 Flash (preview) (fast multimodal)
Gemini 2.5 Pro (preview) (top-tier reasoning)
And yes: Claude + GPT families too
Through a router/provider layer (and especially via aggregators), you can also tap into the big names like Claude Opus 4.6 (excellent for complex reasoning + coding) and the broader GPT family, depending on your setup and routing rules. Anthropic positions Claude Opus 4.6 as their latest-generation model for the most complex tasks, with strong coding/reasoning and large context options.
Routing logic (how it feels in practice)
Need fast agentic tool use → route to Groq Compound / Mini
Need deep reasoning → route to DeepSeek R1 / GLM-5 / Gemini Pro
Need hardcore coding → route to MiniMax M2.5 / Qwen Coder / Devstral
Need vision + multimodal → route to Gemini Flash/Pro or vision-capable Llama variants
Need premium “solve the hardest thing” mode → route to Claude Opus 4.6 (when enabled)
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