01 The Agent Loop: Observe, Think, Act
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02 ReWOO and Plan-and-Execute: Decoupled Planning
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03 Reflexion: Verbal Reinforcement Learning
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04 Tree of Thoughts and LATS: Deliberate Search
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05 Self-Refine and CRITIC: Iterative Output Improvement
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06 Tool Use and Function Calling
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07 Memory: Virtual Context and MemGPT
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08 Memory Blocks and Sleep-Time Compute (Letta)
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09 Hybrid Memory: Vector + Graph + KV (Mem0)
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10 Skill Libraries and Lifelong Learning (Voyager)
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11 Planning with HTN and Evolutionary Search
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12 Anthropic's Workflow Patterns: Simple Over Complex
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13 LangGraph: Stateful Graphs and Durable Execution
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14 AutoGen v0.4: Actor Model and Agent Framework
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15 CrewAI: Role-Based Crews and Flows
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16 OpenAI Agents SDK: Handoffs, Guardrails, Tracing
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17 Claude Agent SDK: Subagents and Session Store
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18 Agno and Mastra: Production Runtimes
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19 Benchmarks: SWE-bench, GAIA, AgentBench
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20 Benchmarks: WebArena and OSWorld
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21 Computer Use: Claude, OpenAI CUA, Gemini
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22 Voice Agents: Pipecat and LiveKit
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23 OpenTelemetry GenAI Semantic Conventions
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24 Agent Observability: Langfuse, Phoenix, Opik
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25 Multi-Agent Debate and Collaboration
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26 Failure Modes: Why Agents Break
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27 Prompt Injection and the PVE Defense
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28 Orchestration Patterns: Supervisor, Swarm, Hierarchical
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29 Production Runtimes: Queue, Event, Cron
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30 Eval-Driven Agent Development
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31 Agent Workbench Engineering: Why Capable Models Still Fail
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32 The Minimal Agent Workbench
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33 Agent Instructions as Executable Constraints
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34 Repo Memory and Durable State
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35 Initialization Scripts for Agents
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36 Scope Contracts and Task Boundaries
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37 Runtime Feedback Loops
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38 Verification Gates
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39 Reviewer Agent: Separate Builder from Marker
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40 Multi-Session Handoff
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41 The Workbench on a Real Repo
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42 Capstone: Ship a Reusable Agent Workbench Pack
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