26 articles with this tag
Understand the 5 core AutoGen agent types — AssistantAgent, UserProxyAgent, CodeExecutorAgent, and more — with code examples and a comparison table for each role.
Learn to serve AutoGen multi-agent systems as production REST APIs using FastAPI with async endpoints and real-time streaming responses.
Connect Microsoft AutoGen to Azure OpenAI for enterprise-grade AI agents. Step-by-step setup with private endpoints, OAI_CONFIG_LIST, and deployment config.
Build an AutoGen agent that reviews code, analyzes PR diffs, suggests fixes, and automates code quality improvements with a full working implementation.
Learn how to set up AutoGen's code interpreter with LocalCommandLineCodeExecutor and DockerCommandLineCodeExecutor to safely execute Python in agent workflows.
Master AutoGen's 5 core agent interaction models — from one-shot requests to hierarchical orchestration — with full code examples and use case comparisons.
Build a production-ready customer service agent with AutoGen featuring multi-turn conversations, escalation logic, FAQ tools, and handoff patterns.
Learn how to run AutoGen agents in Docker containers for isolated, reproducible code execution. Covers DockerCommandLineCodeExecutor, docker-compose, and custom images.
Master AutoGen group chat patterns including round-robin, speaker selection, and custom orchestration for powerful multi-agent collaboration workflows.
Master AutoGen's human input modes for hybrid autonomy. Learn when to use ALWAYS, NEVER, and TERMINATE with real code examples and a comparison table.
Run AutoGen agents entirely offline using GPT4All, Oobabooga, and Ollama local models. Full setup guide with LLM configs, API compatibility, and honest speed benchmarks.
Build a complete AutoGen HR agent that parses PDF resumes, matches candidates to job criteria, ranks applicants, and generates structured screening reports automatically.
Master all 7 AutoGen termination conditions including is_termination_msg, max_turns, and human approval patterns to stop agent loops reliably and safely.
Master AutoGen's 5 tool integration patterns — synchronous, asynchronous, callback-based, chained, and error-handled — with complete code examples for each.
Learn Microsoft AutoGen from scratch in 2026 — install, first agent conversation, GroupChat, and a full comparison of AutoGen 0.2 vs 0.4 features.
Build your first AutoGen two-agent conversation from scratch — full working code for UserProxy and AssistantAgent, termination conditions, and what happens under the hood.
A head-to-head AutoGen vs CrewAI comparison with the same task built in both frameworks, a detailed comparison table, and an honest opinion on which is friendlier to use.
Compare AutoGen and CrewAI side-by-side for multi-agent role assignment. Same task, two frameworks — see which conversation-based vs role-based approach wins.
AutoGen vs LangChain for multi-agent systems in 2026 — feature comparison, same use case in both frameworks, and an honest verdict on when each wins.
AutoGen vs MetaGPT for AI-driven software development. Compare architectures, code generation quality, MetaGPT's PM/Engineer/QA roles, and when to use each.
Compare AutoGen and Semantic Kernel — Microsoft's two AI agent frameworks. Covers features, .NET vs Python support, and when to choose each for your project.
AutoGen vs TaskWeaver: an honest comparison for data engineers. Architecture, code examples, and a clear recommendation based on your actual task requirements.
Integrate Milvus vector database with AutoGen agents for large-scale persistent memory. Full setup guide with LangChain integration and vector DB comparison table.
Learn how to equip AutoGen agents with custom tools like web scrapers, calculators, and file handlers using register_for_llm and register_for_execution.
Comparing AutoGPT, AutoGen, and BabyAGI in 2026 — architecture, cost, autonomy, and which framework actually wins for your use case.
An honest comparison of LangChain and AutoGen for multi-agent orchestration — feature tables, same task coded in both frameworks, and a clear verdict on when to use each.
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