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Convo

Memory & observability for LLM apps

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.

Top comment

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:

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:

👉 https://www.notion.so/Convo-gett...

📦 Install via NPM

Grab the SDK and start hacking in under 2 minutes:

👉 https://www.npmjs.com/package/co...

🧠 Join our live workshop (July 26)

We’re running a hands-on LangGraph memory session where we’ll build from stateless to fully persistent agents:

👉 https://lu.ma/fl29ul0l?utm_sourc...

About Convo on Product Hunt

Memory & observability for LLM apps

Convo launched on Product Hunt on July 22nd, 2025 and earned 148 upvotes and 11 comments, placing #8 on the daily leaderboard. 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.

On the analytics side, Convo competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Convo performed against the three products that launched closest to it on the same day.

Who hunted Convo?

Convo was hunted by Sunny ☀️. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Convo including community comment highlights and product details, visit the product overview.