#multi-agent voice AI
115 related articles
·2 min
Voice AI Agent Architecture: Pipecat Flows vs Vapi Squad — A Deep Comparison
A deep comparison of Pipecat Flows and Vapi Squad for voice AI agent architecture — covering latency, accuracy, multi-agent handoffs, and when to use each.
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·6 min
30-Minute Hands-On: Building a Working AI Agent from Scratch
Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.
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·4 min
Zero-Code AI Voice Agents with Claude Code: 5 Real-World Business Scenarios Unpacked
Build a production AI voice agent with Claude Code + Telnyx single-stack — no code needed, live phone number in 5 minutes. Covers 5 business scenarios including appointment booking, lead qualification, and support triage.
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·4 min
Cross-Platform AI Agent Setup Guide: Breaking Free from Vendor Lock-In for Good
Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.
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·2 min
AI Agents 101: The Core Difference Between LLMs and Agents, and How They're Built
What is an AI agent? How does it differ from a large language model? Learn the core concepts, the Agent formula (LLM + Workflow + Knowledge Base), and how to choose between Dify, LangChain, and LlamaIndex.
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·4 min
Pi Agent Deep Dive: Four Core Advantages of a Minimalist Open-Source Framework
Pi is a minimalist open-source Agent framework with just 4 default tools and under 1,000 tokens in its system prompt, with 70K GitHub stars. Deep dive into its 4 core advantages vs. Claude Code and Codex.
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·2 min
OpenAI GPT-Live: The Full-Duplex Voice AI Revolution
OpenAI's GPT-Live voice model family brings full-duplex interaction, task delegation, GPT-5-level intelligence, real-time translation, and image understanding to voice AI.
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·2 min
LangGraph Multi-Agent Architecture in Practice: From Core Components to Production Deployment
A deep dive into LangGraph multi-agent architecture — covering hierarchical, network, and pipeline patterns with three hands-on projects using LangGraph 0.3.
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·3 min
Coze Deep Dive: Multi-Agent Collaboration Platform Architecture and Usage Guide
Deep dive into Coze's three core capabilities: multi-person multi-AI collaboration, customizable agents, and cross-platform project management. Covers credits, Dify comparison, and a practical learning path.
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Codex Encrypts Sub-Agent Prompts: The …
·2 min
Codex Encrypts Sub-Agent Prompts: The AI Black-Box Trend and What Developers Should Do
OpenAI Codex is encrypting sub-agent prompts, sparking debate about AI transparency. We analyze the motivations, community concerns, and strategies for developers navigating the black-box trend.
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·3 min
GPT-5.6 Proves 50-Year Math Conjecture in One Hour — AI Independently Cracks a Scientific Problem
GPT-5.6 Sol Ultra proved the 50-year-old Cycle Double Cover Conjecture in one hour for under $500. Plus: Apple sues OpenAI, Google open-sources Gemma 4, and Zhipu AI targets AGI.
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·4 min
No-Code Guide to Claude Code: Building Your Personal AI Automation OS
No coding needed: master Claude Code workflows with folder structure, sub-agents, third-party connectors, and scheduled routines to build your own AI automation OS.
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·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
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·2 min
State Machine Voice Agents in Practice: Balancing Latency and Accuracy with Pipecat and Vapi
A deep dive into state machine-based voice AI agent architecture, comparing Pipecat Flows and Vapi Squad, and exploring the latency vs. accuracy trade-offs in agentic handoffs.
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·4 min
Hands-On with GPT-5.6: A Single Prompt Builds a Real-Time Voice Anime App
Hands-on with GPT-5.6 Sol: auto-generate real-time voice anime characters from one prompt, write physics engines from scratch, and build unfamiliar toolchains autonomously. In-depth review of coding, agentic tasks, benchmarks, and its hallucination weakness.
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·5 min
Can a Mixture of Experts Beat a Single Large Model? A Deep Dive into the Hermes 2.0 Architecture
A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.
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·4 min
GPT-5.6 Released: Coding Benchmarks Surpass Rivals, Inference Speed 10x Faster
Just 12 days after a rival launch, OpenAI released GPT-5.6, scoring 91.9% on Terminal-Bench 2.1 to surpass competitors. Ultra mode supports multi-agent collaboration, inference hits 750 tokens/sec.
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·4 min
OpenAI GPT-Live Voice Model: How Full-Duplex Interaction Reshapes Human-AI Conversation
OpenAI unveils the GPT-Live voice model family, with full-duplex interaction enabling AI to listen and speak simultaneously and delegate complex reasoning to GPT-5.5. GPQA benchmark jumps from 45% to 80%.
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·3 min
OpenAI GPT Live: Full-Duplex Voice AI That Listens, Speaks, and Executes Tasks Simultaneously
OpenAI launches GPT Live, a voice AI model family supporting full-duplex real-time conversation, deep task delegation, multimodal interaction, and instant translation, with reasoning near GPT-5 level.
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·4 min
Four Major LangChain Updates: OpenWiki, Voice Agents, and Sub-Agent Orchestration Explained
LangChain releases four major updates: OpenWiki for auto-generating codebase docs, voice agent tutorials, Harbor evaluation integration, and deepagents programmable sub-agents.
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