The competitive landscape in the memory/AI-cloning space and how each vendor prices.

This list includes full software products and excludes tools/plugins e.g. claude-mem or agentmemory.

TL;DR: Vast majority of competitors treat memory as a search problem; very few treat memory the way we do, which is beyond search.

Documents

For comprehensive analysis, reference these two deep research Claude Artifacts:

Landscape

37 vendors total are comprised of the original 14 (#1–14) plus ones surfaced across the two deep research analyses (#15–37).

  • Description is each vendor’s own self-positioning, taken from their site or GitHub (2026-07)
  • Category is a taxonomy from Memory is Not Search
    • Default
      • In-weights = baked into model weights (e.g. digital twin)
    • Search
      • RAG = retrieval over a store
      • Agentic = an LLM controller manages what’s stored/retrieved
    • Beyond Search
      • Proactive = surfaces relevant context without an explicit query
#VendorVendor self-descriptionCategory
1MemobaseUser profile–based long-term memory for AI chatbot appsRAG
2MemoriAgent-native memory infrastructureAgentic
3mem0AI memory that persists across sessions and agentsAgentic
4SupermemoryThe memory layer for AI agentsRAG
5ZepAgent memory, at enterprise scaleRAG
6backboardSovereign AI infrastructure for organizationsRAG
7lettaAn AI research lab building machines that learnAgentic
8acontextAgent skills as a memory layerAgentic
9memUPersonal memory across agentsAgentic
10memvContextual memory for your multimediaRAG
11automemPersistent memory for MCP-compatible AI tools (Claude, Cursor, Codex, ChatGPT…)RAG
12mnemosyThe first AI memory that thinks like a brainAgentic
13mengramPersistent memory so your AI finally knows who you areRAG
14AuraCognitive memory for AI agentsAgentic
15ByteRoverShare the right context across your agents and teamAgentic
16cmem.aiYour agents finally rememberAgentic
17CogneeOpen-source memory platform for agentsRAG
18Engram (EngramLab)AI has learned the world — now it should learn yoursIn-weights
19EngrammeOmniscient AI to augment human cognitionProactive
20EverMemOSGive your AI agent self-evolving memoryAgentic
21GraphifyThe code knowledge graph for AI coding assistantsRAG
22GraphitiBuild real-time knowledge graphs for AI agentsRAG
23Hindsight (Vectorize)State-of-the-art memory for AI agentsAgentic
24LangMem (LangChain)Helps agents learn and adapt from their interactions over timeAgentic
25MemClawThe shared cognition layer for enterprise AI agentsAgentic
26MemaryThe open-source memory layer for autonomous agentsAgentic
27MemdexTurn every AI conversation into reusable local memoryRAG
28Memories.aiThe world’s first large visual memory model — AI that remembers videoRAG
29MemMachineBuild agents that learn, with memory that lastsAgentic
30MemPalaceThe best-benchmarked open-source AI memory systemRAG
31memvidServerless single-file memory layer to replace complex RAG pipelinesRAG
32MythOSStop re-explaining yourself to your AIRAG
33OpenMemoryMemory that feels handcrafted for autonomous agentsAgentic
34OpenViking (Volcengine)The context file system for AI agentsRAG
35PaprTurn data into intelligenceRAG
36PineconeNext-generation vector search, an API call awayRAG
37Second MeWhere AI brings real connections backIn-weights
Honcho (us)Identity layer for AI agents — models user psychology via theory-of-mindProactive