Memory Pruner

Automatically audits and compresses memory and context files to reduce token usage and save weekly API costs without data loss.

Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads.

Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.

Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me...

Lightweight self-improvement loop for AI agents. Auto-captures errors, corrections, and discoveries in a fast one-line format. Smart dedup, auto-promotion to...

Monitors and verifies agent workspace files to detect unauthorized changes, injection attacks, personality drift, and cross-agent contamination.