Convo

Memory & Observability for LLM Apps with a drop-in SDK.

Convo is designed to enhance LLM applications by providing memory and observability through a simple, drop-in SDK. It enables developers to log, debug, and personalize AI conversations effortlessly. With features like state persistence, threaded conversations, and time-travel debugging, Convo makes it easier to build reliable, stateful, and production-ready LangGraph agents. The platform eliminates the need for manual database setups, offering a cloud-native solution that scales with your needs.

Freemium

$29/month

How to use Convo?

Convo integrates seamlessly with LangGraph applications, requiring just a few lines of code to get started. Developers can use the SDK to add memory and observability features to their LLM apps, enabling persistent state management, multi-user conversation handling, and advanced debugging capabilities. This allows for the creation of more intelligent and reliable AI agents that can remember past interactions and scale efficiently.

Convo 's Core Features

State Persistence: Convo provides persistent memory for LLM agents, allowing them to store and recall information across sessions without manual database management.

Threaded Conversations: Effortlessly manage multi-user conversations with automatic memory handling, making it easier to build interactive and dynamic AI applications.

Time-Travel Debugging: Instantly rewind and restore any agent run state, simplifying the debugging process for complex AI workflows.

Zero Setup Required: With no need for databases or complex configurations, Convo offers a plug-and-play solution that integrates directly with your existing codebase.

Agent Observability: Trace every message, tool call, and LLM output to gain insights into your AI's behavior and performance.

Rewind & Restore: Built-in checkpointers allow for easy recovery of any run state, enhancing the resilience of your AI applications.

Cloud-Native & Production-Ready: Designed for scalability and reliability, Convo is ready to support your AI applications from prototype to production.

Convo 's Use Cases

Developers building LangGraph applications can use Convo to add memory and observability features, reducing the complexity of managing stateful AI agents.

Startups developing MVP AI products can leverage Convo's scalable pricing and features to quickly bring their ideas to market without worrying about infrastructure.

Enterprises running multiple AI agents in production can benefit from Convo's advanced analytics and thread management APIs to optimize performance and reliability.

Teams working on multi-user AI applications can utilize Convo's threaded conversation feature to handle interactions seamlessly across different users.

AI researchers and hobbyists can experiment with Convo's free tier to explore the possibilities of stateful AI agents without any upfront investment.

Convo 's Pricing

Starter

Free

For side projects, learning, and prototyping. Includes 10,000 checkpoint ops/month, 5 threads, 1 GB memory, community support, and 30-day data retention.

Startup

$29/month

Early-stage startups, MVPs. Includes 100,000 checkpoint operations/month, unlimited threads, 5 GB memory, email support, 90-day data retention, analytics dashboard, and $0.0003 per additional operation.

Enterprise

$99/month

Optimized for scale and multiple agents in prod. Includes everything in Startup, 1M checkpoint operations/month, 50 GB memory, priority support, 1-year data retention, advanced analytics, thread management APIs, and $0.0002 per additional operation.

Convo 's FAQ

Most impacted jobs

Software Developers

AI Researchers

Startup Founders

Data Scientists

Product Managers

DevOps Engineers

Machine Learning Engineers

Technical Leads

Hobbyists

Educators

Convo 's Tags

#LLM #AI #Memory #Observability #SDK #LangGraph #Debugging

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