Compare
Memory products share a label. They do not share a job.
Most memory products remember the user and optimize recall. memco remembers the work and optimizes what agents do next, shared across a network and governed by default. Each page below says where the products overlap, where they differ, and when to choose the other one.
01Five product jobs
Pick the category you are actually evaluating.
- Agent and application memorymemco vs Mem0
Mem0 helps teams add and retrieve memory. memco makes what a network learns compound.
Read the comparison - Temporal context graphsmemco vs Zep
Zep builds context from your data. memco builds learning from your work.
Read the comparison - Open-source and managed agent-memory platformmemco vs Cognee
Cognee turns documents into a knowledge graph. memco turns work into learning.
Read the comparison - Memory API for agentsmemco vs Supermemory
Supermemory remembers what you told it. memco remembers what your agents learned.
Read the comparison - Stateful agent frameworkmemco vs Letta
Letta gives one agent a memory of its own. memco gives every agent the network's.
Read the comparison
Adjacent categories
Enterprise search, agent observability and skills marketplaces sit next to memory without doing its job. If you are evaluating one of those, the reuse test above still applies: the question is whether a later task improves.
02The memco lens
One lifecycle, every comparison.
real workcorrection / outcomecandidate insighttrust and scopelater reuseoutcome feedbackcorrect / reinforce / retire
The useful comparison is not whether a product stores memory. It is what becomes the unit of learning, who can trust it and whether it improves the next task.