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Feature Comparison

How LLMFS compares to other LLM memory solutions.

vs. Developer Tools

Feature mem0 Letta (MemGPT) ChromaDB LLMFS
Filesystem metaphor ❌ ❌ ❌ ✅
Memory layers with TTL Partial ✅ ❌ ✅
Knowledge graph ❌ ❌ ❌ ✅
Custom query language (MQL) ❌ ❌ SQL-like Custom MQL
Auto-compression & chunking ❌ ✅ ❌ ✅
Infinite context (VM model) ❌ ❌ ❌ ✅
CLI interface ❌ ✅ ❌ ✅
Local-first, no server needed ❌ ❌ ✅ ✅
Zero-config (llmfs init) ❌ ❌ Partial ✅
MCP server built-in ❌ ❌ ❌ ✅
FUSE filesystem mount ❌ ❌ ❌ ✅
Drop-in agent middleware ❌ ❌ ❌ ✅

vs. ChatGPT / Claude Memory

Products like ChatGPT and Claude have built-in "memory" features, but they solve a fundamentally different problem:

ChatGPT / Claude Memory LLMFS
What it stores Short text snippets ("user prefers Python") Full documents, code, conversations at full fidelity
Storage location Vendor servers Your machine, your data
Structure Flat list of facts Filesystem paths, layers, tags, knowledge graph
Query capability None (opaque, injected into prompt) Semantic search, BM25, MQL, graph traversal
Programmatic access No API Full Python API, CLI, MCP server
Cross-agent sharing No Yes — multiple agents share one LLMFS
Vendor lock-in 100% Zero — works with any LLM
Context overflow Truncation or lossy summary Virtual memory with zero information loss

Different audiences

ChatGPT/Claude memory is designed for casual users who want the model to remember their name and preferences. LLMFS is infrastructure for developers building AI agents that need structured, searchable, persistent memory at scale.

When to Use LLMFS

LLMFS is a good fit when you need:

  • Persistent memory across sessions — agents that remember everything
  • Structured organization — not just a bag of embeddings, but a filesystem with paths, layers, and tags
  • Unlimited context — conversations that span thousands of turns without losing detail
  • Multi-agent coordination — shared memory between specialized agents
  • Local-first privacy — no data leaves your machine
  • Vendor independence — works with OpenAI, Anthropic, Ollama, or any LLM