Results for “memory-corruption”

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Stores, retrieves, and curates persistent facts in a structured memory map, distinguishing between user facts and reference text.

Consolidates auto-memory files in ~/.claude/projects by auditing, planning, and executing a 4-phase cleanup with user approval.

Persists and recalls agent knowledge across sessions using four approaches: static KB, company wiki, persistent memory, and session brain.

Structured memory system with domains, decay, and links for AI agents, replacing flat memory files with a weighted, interconnected memory palace.

Retrieve task-relevant project and global memory without loading everything. Load when the user asks what we decided, recall prior context, find memory about a feature, explain past rationale, resume a task, or check deferred ideas.