Packs
1 packResults for “memory-analysis”
6 skillsMore results
memory-systems
Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.
16.9k · bundle
recallmax
Enhances AI agent memory by injecting large external context, auto-summarizing conversations with tone and intent preservation, compressing multi-turn histories, and verifying facts.
2
total-recall
Watches conversations continuously and compresses them into prioritized notes, consolidating and recovering missed sessions with multiple redundancy layers.
1 · bundle
total-recall
Compresses conversation transcripts into prioritized notes using an LLM observer, consolidates them when they grow, and recovers any missed sessions without a database or vector store.
272 · bundle
agent-recall
Provides persistent, compounding memory for AI agents across sessions using local markdown files, with optional Supabase-backed semantic search.
365 · bundle