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Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

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Re: Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

#41

What I do currently is having a markdown file named MEMORY.md at the root folder. Then, whenever I create a new conversation with an agent, I refer to that file. That file becomes the initial source of context and knowledge. At the end of an task, before I leave the conversation, I ask the agent to update MEMORY.md with lessons and new knowledge it has gathered from our conversation, it also removes stale or outdated…

Sounds like AGENTS.md with a different name.

Didn’t know I was basically replicating AGENT.md. I didn’t jump on that train when it became a trend.

Re: Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

#42
post #10

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.

[flagged]

Re: Show HN: MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5

#44
post #20

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)

dont worry abotu community. If your intent is to open source, just put it up on github (ask claude for help on how). simple as that, no reason not to do it.
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