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.
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:
checkpointer: convo.checkpointer()
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!
_________________
🔧 Want to try it in your own stack?
We put together a quick-start cookbook with real-world recipes to get going fast:
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!
Giving LLM apps memory and observability is key to making them smarter and more reliable — Convo looks like a must-have for any AI dev stack. Congrats on the launch 🚀
@naderikladious Thank you so much! 🙏 Once you have memory and visibility into what your agents are doing, everything starts to click. Excited to see how folks use Convo in their stacks!
@sunnyjoshi one line to replace LangGraph checkpointer? Brilliant - I’ve been struggling with similar memory issues in my Claude Code sessions. Does this work directly with Anthropic’s API or would I need a wrapper? Database hell struggle is real 😆
Replies
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!
_________________
🔧 Want to try it in your own stack?
BestPage.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...
I like that it’s TypeScript-first and supports multi-user threads without extra config. That alone is a reason for me to give it a shot.
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
Linkinize
Giving LLM apps memory and observability is key to making them smarter and more reliable — Convo looks like a must-have for any AI dev stack. Congrats on the launch 🚀
Convo
@naderikladious Thank you so much! 🙏
Once you have memory and visibility into what your agents are doing, everything starts to click. Excited to see how folks use Convo in their stacks!
Tough Tongue AI
The drop-in SDK and one-liner setup is beautifully dev-friendly :) Congratulations @sunnyjoshi and team!