A comprehensive survey of AI agent frameworks, tools, and platforms.
Last Updated: January 2026
Tools and frameworks for agentic workflows, orchestration and agent communication.
Tools, datasets, and standards for evaluating agent performance and reliability.
Common techniques for evaluating agent performance, reliability, and safety.
Deterministic assertions on agent outputs. Useful for checking JSON structure, tool call arguments, and strict logic constraints.
Using a stronger model (e.g., GPT-4o) to score the traces of a smaller model. Evaluates reasoning quality, tone, and adherence to complex instructions.
Analyzing the step-by-step "thought process" or tool use sequence. Checks if the agent took the optimal path or got stuck in loops.
Collecting implicit (clicks, accept rates) or explicit (thumbs up/down) feedback from end-users to fine-tune agent behavior.