Cool idea. Why is this beneficial over just using markdown files and allowing agents to grep for whatever they need? I've tried various MCP things in the past and I've found they tend to slow down the agent and waste tokens more than they end up helping, but a better memory system is 100% needed for agents.
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ksajadi
For those looking for similar tools, there is also https://markbase.cloud/ as a hosted service. (Disclaimer: we built it for internal use first and would like to open source with the community help as we don’t have much experience in OSS maintenance)
Cool idea. Why is this beneficial over just using markdown files and allowing agents to grep for whatever they need? I've tried various MCP things in the past and I've found they tend to slow down the agent and waste tokens more than they end up helping, but a better memory system is 100% needed for agents.
For those looking for similar tools, there is also https://markbase.cloud/ as a hosted service. (Disclaimer: we built it for internal use first and would like to open source with the community help as we don’t have much experience in OSS maintenance)
Nice to see more OKF-based approaches. My entry in this field is https://rcarmo.github.io/projects/memento/, which I’ve been running for a few months now.
How is this any different from all the other Memory stuff we have? mem0 etc etc that do the same thing?
Looks very interesting. Can you explain for noobs why using Google's OKF format and not plain MD files?
did you test if that actually outperforms local claude code memory by any metric?
How is this different from what's built into Claude?
Another week, another agent memory system that is about the same as grep in a memory/ directory.
Using SQLite FTS5 for fast agent memory is such a pragmatic architectural choice. Great Show HN project.