The Free AMM Layerfor AI Agents.
The ultimate open-source alternative to Pinecone and Langchain. Drop-in vector search and semantic chunking with zero pipeline changes.
npm install @libro/sdkv1.0.4 • Read the Documentation
Your digital life is fragmented.
Floating notes drift apart. Files scatter in the void. Messages remain disconnected. Standard AI applications forget you the moment you close the tab.
Libro connects everything.
Disparate data points magnetically attract. Our real-time memory nodes connect through an implicit graph, structuring your unstructured life.
Ask anything.
The memory graph lights up. Semantic indexing at the edge processes relationships in milliseconds, injecting relevant memory without bloated token windows.
Instant recall.
The entire graph reorganizes around your intent. Fly through your connected memories and retrieve exactly what you need, exactly when you need it.
Use Cases
Memory for every AI product.
The Open-Source AMM Layer and Vector Memory Engine
Libro is designed for engineers building advanced AI agents and modern LLM applications. Instead of provisioning traditional vector databases like Pinecone, or piecing together complex RAG architectures with Langchain, Libro serves as a fully integrated AI Memory Management (AMM) layer.
Our core infrastructure features zero-latency edge embeddings, automated semantic chunking, multilingual vectorization, and GDPR-compliant data sovereignty. Add infinite, persistent context to Claude, OpenAI, or any Anthropic model with our free SDK.