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:
- Competitor Analysis
- Only vendors with verified funding round or top-10 Github stars are ranked
- Based around the framework from Engramme’s Memory is Not Search
- Pricing Analysis
- Contains simulation of vendor prices across variable workloads compared to Honcho
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
- Default
| # | Vendor | Vendor self-description | Category |
|---|---|---|---|
| 1 | Memobase | User profile–based long-term memory for AI chatbot apps | RAG |
| 2 | Memori | Agent-native memory infrastructure | Agentic |
| 3 | mem0 | AI memory that persists across sessions and agents | Agentic |
| 4 | Supermemory | The memory layer for AI agents | RAG |
| 5 | Zep | Agent memory, at enterprise scale | RAG |
| 6 | backboard | Sovereign AI infrastructure for organizations | RAG |
| 7 | letta | An AI research lab building machines that learn | Agentic |
| 8 | acontext | Agent skills as a memory layer | Agentic |
| 9 | memU | Personal memory across agents | Agentic |
| 10 | memv | Contextual memory for your multimedia | RAG |
| 11 | automem | Persistent memory for MCP-compatible AI tools (Claude, Cursor, Codex, ChatGPT…) | RAG |
| 12 | mnemosy | The first AI memory that thinks like a brain | Agentic |
| 13 | mengram | Persistent memory so your AI finally knows who you are | RAG |
| 14 | Aura | Cognitive memory for AI agents | Agentic |
| 15 | ByteRover | Share the right context across your agents and team | Agentic |
| 16 | cmem.ai | Your agents finally remember | Agentic |
| 17 | Cognee | Open-source memory platform for agents | RAG |
| 18 | Engram (EngramLab) | AI has learned the world — now it should learn yours | In-weights |
| 19 | Engramme | Omniscient AI to augment human cognition | Proactive |
| 20 | EverMemOS | Give your AI agent self-evolving memory | Agentic |
| 21 | Graphify | The code knowledge graph for AI coding assistants | RAG |
| 22 | Graphiti | Build real-time knowledge graphs for AI agents | RAG |
| 23 | Hindsight (Vectorize) | State-of-the-art memory for AI agents | Agentic |
| 24 | LangMem (LangChain) | Helps agents learn and adapt from their interactions over time | Agentic |
| 25 | MemClaw | The shared cognition layer for enterprise AI agents | Agentic |
| 26 | Memary | The open-source memory layer for autonomous agents | Agentic |
| 27 | Memdex | Turn every AI conversation into reusable local memory | RAG |
| 28 | Memories.ai | The world’s first large visual memory model — AI that remembers video | RAG |
| 29 | MemMachine | Build agents that learn, with memory that lasts | Agentic |
| 30 | MemPalace | The best-benchmarked open-source AI memory system | RAG |
| 31 | memvid | Serverless single-file memory layer to replace complex RAG pipelines | RAG |
| 32 | MythOS | Stop re-explaining yourself to your AI | RAG |
| 33 | OpenMemory | Memory that feels handcrafted for autonomous agents | Agentic |
| 34 | OpenViking (Volcengine) | The context file system for AI agents | RAG |
| 35 | Papr | Turn data into intelligence | RAG |
| 36 | Pinecone | Next-generation vector search, an API call away | RAG |
| 37 | Second Me | Where AI brings real connections back | In-weights |
| ★ | Honcho (us) | Identity layer for AI agents — models user psychology via theory-of-mind | Proactive |