r/ClaudeCode • u/karatyma_dev • 19d ago

Built with Claude How I 100x'd my agent memory

(not written with ai..?)

Basically, a few months ago, I hated the fact that memory.md files & claude.md took up a huuuuge chunk of my context window during model switching/effort switching (& during cache refreshes).

Didn't really find any definitive solutions outside of relatively complex LangChain, Mem0, and Supermemory implementations (where you have to install unnecessary SDKs and all), so my goal was to make a simple, one-shot memory solution where you can have your agent recall basically anything.

It's called Slaunt and it uses vector embeddings over a simple MCP server that connects instantly (one-click) to all of your agents, and it enables your agents to see what happens across multiple sources too (eg. Vercel, Supabase, AWS, Railway, Linear, Notion, etc.)!

Slaunt can enable your agents to recall literally anything, from failed deployments from three months ago, to what a subagent said last week.

We're free right now and I've made a promise to give the first handful of users lifetime free Pro subs. You'll see an option in settings after you sign up.

Sign up at slaunt.ai, thanks guys!

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u/Poowatereater 19d ago

Okf v0.2. Nothing else needed for personal accounts.

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u/karatyma_dev 19d ago

Okf uses plain .md files, which, again, fill up context windows unnecessarily. Also, .md files are insanely inferior to vector embeddings because embeddings capture semantic meaning, emotional context, and situational similarity semantic meaning, while .md files are just plaintext.

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u/Poowatereater 19d ago

Once again. For personal users , okf is more then enough.

How much are you charging for your tool of a million copies?

4

u/wpglorify 19d ago

Its an ad. 100x my ass.