#Thinking Machines Lab
258 related articles
Product Reviews·2 min
Dogra: Open-Source Self-Hosted Voice AI Platform — Say Goodbye to VAPI's Sky-High Bills
Dogra is an open-source self-hosted voice AI platform with visual workflow builder, multi-provider flexibility, and full call tracing — a cost-effective alternative to VAPI and Bland.
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Research·1 min
Calico Teams Up with Google Co-Scientist: How AI Is Cracking the Challenges of Aging Research
Google's Calico Life Sciences uses AI tool Co-Scientist to integrate cross-disciplinary literature and generate new aging research hypotheses, accelerating scientific discovery.
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Research·2 min
Google Antigravity Uses 93 AI Agents to Build a Complete Operating System from Scratch
Google Antigravity built a complete OS from scratch using 93 AI agents and a single prompt—including kernel, drivers, and all components—for under $1,000.
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Expert Opinions·1 min
Make No Little Plans: Why You Should Think Big in the AI Era
AI-era technology leverage dramatically lowers the barrier to grand plans. Learn why small plans are harder to achieve and how to use AI tools and end-state thinking to pursue disruptive visions.
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Expert Opinions·2 min
Token Maxing: YC CEO's Methodology for Achieving 400x Programming Efficiency with AI
YC CEO Gary Tan returned to coding after 13 years using Token Maxing with Claude Code, completing a $4M project in 5 days. Detailed breakdown of his 15 parallel agents, Plan-Eng-Review skills framework, and G-Stack open-source workflow.
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Tutorials·2 min
Replicating Manus for $30: A Practical Breakdown of Building an AI Agent's Minimum Viable Loop
A detailed breakdown of replicating the Manus AI agent platform for $30, covering Docker container integration, task orchestration, UI design, and the course-based monetization strategy.
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Tech Frontiers·2 min
Jony Ive and Sam Altman Found IO: A Complete Breakdown of Their AI Hardware Design Philosophy
Deep dive into the design philosophy behind IO, the company co-founded by Jony Ive and Sam Altman. From "Times Square" to "lakeside cabin" — their AI product vision, counterintuitive methodology, and hardware launching within two years.
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Tutorials·4 min
Google Jules Official Launch: A Complete Guide to the Free AI Coding Agent
Google's AI coding agent Jules is now officially available, with a free tier offering 15 tasks/day. Covers Jules's 5 core features, GitHub integration, CLI support, use cases, and practical tips.
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Deep Dives·4 min
AI Agent Skill Architecture Breakdown: Decision Layer + Encapsulation Layer + Execution Layer Practical Guide
Deep breakdown of AI Agent Skill's three-layer architecture: decision layer dynamic routing, encapsulation layer SOP standardization, and execution layer state machine self-healing, with practical solutions for context explosion, error recovery, and generality balance.
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Tech Frontiers·3 min
GPT Image 2 Generates APP Interfaces from Scratch — A Paradigm Revolution in AI Front-End Development
GPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
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Deep Dives·3 min
AI Agent Core Principles Explained: The Decision Loop and Three-Component Architecture
Deep dive into AI Agent core principles: the Sense-Plan-Act-Observe decision loop, and how Planning, Memory, and Tools components transform LLMs into autonomous digital employees.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
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Expert Opinions·3 min
Dario and Daniela Amodei in Conversation: Decoding Claude's Future and AI Safety Strategy
Anthropic co-founders Dario and Daniela Amodei join a rare public conversation moderated by CPO Ami Vora, discussing Claude's evolution, AI safety advances, and Anthropic's competitive strategy.
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Tutorials·4 min
Gemini CLI + Kali Linux in Practice: A Complete Guide to AI-Automated Penetration Testing
Complete guide to Kali Linux 2025.3 with Gemini CLI integration for AI-automated penetration testing using natural language to drive Nmap, Nikto, and more.
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Deep Dives·4 min
Codex Is More Than Code: A Complete Analysis of How OpenAI's Agent Is Reshaping Knowledge Work
OpenAI Codex has evolved from a coding tool into a general-purpose AI agent covering project management, information synthesis, and personal automation. Deep dive into real usage, /goal mode, enterprise security, and tips.
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Product Reviews·3 min
MeMo Open-Source AI Agent Platform In-Depth Review: Long-Term Memory + MCP Protocol + Multi-Bot Collaboration in Practice
In-depth review of MeMo, an open-source AI Agent platform. Covers long-term memory, MCP protocol, multi-Bot container isolation, omni-channel deployment, with setup tutorials and usage tips.
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Tutorials·4 min
Codex + Ollama Local Deployment Guide: Build a Free AI Coding Assistant at Zero Cost
Step-by-step guide to deploying Codex with Ollama locally for a free AI coding assistant, covering hardware checks, Ollama setup, model downloads, and full integration configuration.
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