Managing context in long-run agentic applications

This article explores managing context in long-running multi-agent AI systems to maintain coherence in complex investigations.

• •Language models require complete message history, creating context window challenges in extended operations
• •Three complementary channels balance continuity and creativity: Director's Journal, Critic's Review, and Critic's Timeline
• •The Director maintains six entry types: decisions, observations, findings, questions, actions, and hypotheses
• •The Critic reviews findings using tools to verify evidence and assign credibility scores

This summary was automatically generated by AI based on the original article and may not be fully accurate.