Context Compaction and Session Pruning in Production AI Agents: Architecture, Hierarchical Summarization, and Constraint Preservation
Context Compaction and Session Pruning in Production AI Agents: Architecture, Hierarchical Summarization, and Constraint Preservation Long-running autonomous agents executing multi-step workflows (codebase refactoring, recursive research, multi-turn debugging, and system operations) face an inevitable physical ceiling: working context exhaustion. As an agent executes shell commands, inspects repository trees, parses LSP diagnostics, and consumes tool outputs, the active context window fills rap
1 min