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.mdas 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:
Continue reading
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