Agent Frameworks
eddytools@gmail.com
Domain expert, EddyTools
Published
Fact-checked and reviewed by a second EddyTools engineer.
Agent frameworks provide the scaffolding for building autonomous AI systems—tool registration, memory management, planning loops, and observability hooks. Choosing the right framework depends on your use case complexity, team skills, and deployment environment.
Popular options include LangChain for flexible composition, AutoGen for multi-agent conversations, and Semantic Kernel for enterprise .NET stacks. Each offers different trade-offs in abstraction level, community support, and production readiness.
EddyTools evaluates framework fit for each project rather than defaulting to hype-driven choices. We prototype quickly, measure performance against requirements, and recommend the stack that balances velocity with maintainability.
- Compare frameworks by complexity and production maturity
- Prototype agent workflows before committing to a stack
- Instrument agents for debugging and cost monitoring
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