Convo
Memory & observability for LLM apps
130 followers
Memory & observability for LLM apps
130 followers
Convo is the fastest way to log, debug, and personalize AI conversations. Capture every message, extract long-term memory, and build smarter LLM agents - with one drop-in SDK.
Convo
Hey folks! 👋
We built Convo SDK after months of wrangling LangGraph checkpointers and database infra just to get persistent memory working.
Every time we added memory to an agent, we ended up knee-deep in connection pools, schema migrations, and random production crashes 😵💫
So we made something simple:
One line to replace any LangGraph checkpointer.
No Postgres. No Mongo. No ops.
Just:
It’s TypeScript-first, handles multi-user threads out of the box, and gives you time-travel debugging + bulletproof persistence, all without spinning up a DB.
We’d love feedback from other agent builders, LangGraph users, or anyone tired of “database hell.”
Excited to hear what you think!
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🔧 Want to try it in your own stack?
AltPage.ai
Logging every convo AND adding long-term memory? That’s huge for making LLM apps feel way smarter, tbh. You folks nailed it with this one!
Convo
@joey_zhu_seopage_ai Thank you! 🙌
That’s exactly what we were going for. To make agents feel less like a goldfish and more like real collaborators. Excited to see what you build with it! If you end up trying it out, we’d love to hear how it goes (or what breaks 😅)
We’re also doing a virtual event next wednesday on memory and persistent graph state using checkpointers. Would love to have you join!
https://lu.ma/92ntvfbe?utm_sourc...
Convo
We're also doing a virtual event covering memory and persistent graph state using checkpointers, please feel free to join - https://lu.ma/fl29ul0l