Product Information
Description
Local Agents and Open-Source Routing: Owning and Choosing Your Own AI Stack — a survey of a frontier of autonomous AI in the Agents in the Wild series.
Book framework (chapter themes):
- Introduction — The Rise of Local AI Agents and Model Routing
- Mixture-of-Experts Models and Sparse Routing Mechanisms
- Local Inference Engines and Hardware Adaptation
- Serving-Grade Inference Frameworks and Scheduling Optimization
- Agent Orchestration Frameworks and Tool Integration
- Retrieval-Augmented Generation and Local Knowledge Bases
- Agent Routing: From Static Rules to Adaptive Decision-Making
- Multi-Agent Collaboration and Decentralized Routing
- Cost and Efficiency Optimization in Local Model Routing
- Code Agents and Software Engineering Routing
- Multimodal Agents and Vision-Language Routing
- Agent Safety, Alignment, and Context Robustness
- Agent Memory Systems and Context Management
- Agent Capability Evaluation and Benchmarking
- Domain-Specific Agent Routing: Finance, Healthcare, and Transportation
- Combinatorial Optimization and Multi-Agent Reinforcement Learning
- Agent Skill Learning and Scaling Laws
- Open-Weights Models and the Local Deployment Ecosystem
- Challenges, Limitations, and Open Problems
- Future Directions: Adaptive, Autonomous, and Collaborative Agent Routing
Who it is for.
