ACE (Agentic Context Engineering)
Term
ACE: Agentic Context Engineering
Definition
Framework for dynamically managing and evolving LLM contexts as "living playbooks" that adapt over time.
Components
- Generator: Creates new context elements based on task needs
- Reflector: Evaluates context effectiveness and identifies gaps
- Curator: Selects, organizes, and prunes context components
Purpose
- Addresses brevity bias in LLM context management
- Prevents context collapse over long conversations
- Enables dynamic context evolution based on task needs
Applicability
Use ACE concepts when:
- Managing long-running agent sessions
- Building systems that need to evolve context over time
- Addressing context staleness or collapse issues
Source
Stanford/SambaNova/UC Berkeley research paper (October 2025)
Related
- Hierarchical context management
- Context compression strategies
- LLM context optimization