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2 min readBy Versatly

MEMORY.md vs ClawVault: Which Memory Approach Should You Use?

A practical comparison of MEMORY.md and ClawVault for OpenClaw and other AI agent workflows.

Updated

MEMORY.md is a great starting point.

But as your agent workflow grows, you may need more than one evolving text file.

MEMORY.md: Where It Shines

Use MEMORY.md when:

  • The project is small
  • The team is one or two people
  • Sessions are short
  • You mostly need a quick shared note

It is simple, transparent, and easy to adopt.

Where MEMORY.md Starts to Break

As complexity grows, common issues appear:

  • Retrieval becomes manual and slow
  • Important decisions get buried in long entries
  • Semantic intent is hard to query
  • Recovery after interruption is ad hoc

At that point, the problem is not writing notes. It is running a memory system.

ClawVault Adds System-Level Reliability

ClawVault keeps the local transparency benefits of file-based memory, while adding:

  • Structured memory categories
  • Semantic retrieval (vsearch)
  • Checkpoint and wake recovery
  • Consistent CLI contracts for agents

Side-by-Side View

| Capability | MEMORY.md | ClawVault | | --- | --- | --- | | Setup speed | Very fast | Fast | | Human readability | Strong | Strong | | Semantic recall | Limited | Built-in | | Recovery workflow | Manual | Checkpoint + wake | | Scalability across sessions | Medium | High | | CLI automation | Limited | Core design |

Best of Both: Hybrid Pattern

You do not need to choose only one.

Recommended:

  • Keep MEMORY.md as a high-level snapshot
  • Use ClawVault for structured durable memory and retrieval
# Keep important decisions in ClawVault
clawvault store --category decisions --title "Cache Policy" \
  --content "Read-through cache with 5 minute TTL defaults"

# Keep project summary in MEMORY.md
echo "- Cache policy decided on 2026-02-12" >> MEMORY.md

Decision Rule

If memory is "nice to have," MEMORY.md may be enough.
If memory is "must be reliable," add ClawVault.

For implementation paths:

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