Zero-dependency, in-memory vector database for AI Agents. Supports Cosine Similarity and Persistence.
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
The Memory Layer For Your AI Apps
Apache Arrow columnar in-memory format
Built-in support for popular icon fonts and the tooling to create your own Icon components from your font and glyph map. This is a wrapper around react-native-vector-icons to make it compatible with Expo.
High-performance vector database with HNSW indexing - 50k+ inserts/sec, built in Rust for AI/ML similarity search and semantic search applications
Parses vector tiles
Isomorphic storage client for Supabase.
Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,
OpenClaw LanceDB-backed long-term memory plugin with auto-recall, auto-capture, and vector search.
DuckDB vector store provider for Mastra - embedded high-performance vector storage with HNSW indexing
Serialize mapbox vector tiles to binary protobufs in javascript.
Serialize mapbox vector tiles to binary protobufs in javascript.
Slice GeoJSON data into vector tiles efficiently
A lightweight, file-backed vector database for Node.js and browsers with Pinecone-compatible filtering and hybrid BM25 search.
DynamoDB storage adapter for Mastra
Slice GeoJSON data into vector tiles efficiently
Filesystem-backed memory provider for @cuylabs/agent-core
<div align="center"> <img src="./docs/assets/libravdb-logo.svg" alt="LibraVDB" width="640"> </div>
TypeScript definitions for react-native-vector-icons
OpenCode plugin that gives coding agents persistent memory using local vector database
A request.formData() wrapper with streaming file upload handling
WOTANN — The All-Father of AI Agent Harnesses