Mengram – AI agent memory with facts, events, and evolving workflows
Procedures that learn from failures—not just facts; agents improve through experience loops.

Three-memory architecture beats generic vector stores for agent context retention.
AI developers, Agent builders
Mem0 · Zep · LangChain Memory
Procedures that learn from failures—not just facts; agents improve through experience loops.
Graph memory with auto-extraction beats simple vector stores for context.
Memory deduplication and contradiction detection, but vector DBs already do semantic search.
Cognitive architecture with episodic memory, but shipping status and UX depth unclear.
Hierarchical scopes let teams share code style rules across agents.
Three-method API for agent memory, but semantic memory systems aren't novel anymore.