Databases

A PHP client for the Milvus vector database's REST v2 API, built on Saloon, with an optional Laravel service provider and facade.

• Databases

A multi-tenant vector database and key-value store in one process that speaks the Redis protocol, keeping full-precision vectors on SSD with only a small quantized working set in RAM.

• Databases

An in-memory data store that speaks the Redis wire protocol as a drop-in cache, while adding native vector search, semantic caching of AI answers by meaning, and a built-in MCP server so agents can use it as a tool directly.

• MCP servers
• Databases

A native PHP vector database that stores data in binary files on disk rather than in memory, using HNSW indexing for approximate nearest-neighbor search.

• Databases

A vector database and sub-microsecond key-value store in one Go engine, runnable as a standalone server, a Raft-replicated cluster or an embedded library, with an MCP server for agent memory and an LLM response cache.

• Agent memory
• Databases

A web-based management dashboard for Weaviate and Qdrant vector databases, covering collection management, object CRUD, vector and text search, and cluster statistics.

• Databases

A Convex component for semantic search over text chunks and embeddings, used to give an AI agent retrieval-augmented context, with per-user namespaces, custom filtering and importance weighting.

• RAG
• Databases

A Rust memory database for AI agents that stores typed memories, entities, statements and relations with provenance and bi-temporal validity, and answers queries by fusing semantic, lexical, graph and temporal retrieval.

• Agent memory
• Databases

An Agentic GraphRAG framework that separates the AI decision layer from the graph database, running the same ingestion, retrieval and evaluation pipeline across Neo4j, Memgraph, Apache AGE and Kuzu.

• RAG
• Databases

A format and runtime that packages organizational knowledge as a single portable, cryptographically verifiable file so it can be mounted, queried and proven rather than trapped inside one application's database.

• Agent memory
• Databases

A Python-first vector database with a Rust storage and search core, designed to move from an embedded local prototype to an HTTP service and then a lightweight sharded cluster without changing the client API.

• Databases

A self-hosted operational database for auditing AI agent behavior, recording each step's causal chain back to the user message so a team can answer why an agent called a given tool.

• Databases
• Monitoring

A vector database library written in C with Python bindings, covering twelve indexing algorithms, five distance metrics, and search features such as hybrid, filtered, geo-spatial and grouped search.

• Databases

A vector database built from scratch in Rust, organized as a workspace of modular crates with pluggable indexers, storage backends, and HTTP, gRPC and terminal clients.

• Databases

A Rust port of PixelRAG that searches documents and video by how a page or frame visually looks rather than only by its text, using screenshots of pages turned into visual embeddings and an approximate-nearest-neighbor index.

• RAG
• Databases

A vector-native data lakehouse file format, written in Rust and built on the Apache Iceberg specification, that stores tabular data, embeddings and an HNSW vector index together in one self-contained Parquet-extended file.

• Databases
• Data engineering

A distributed database for OpenTelemetry metrics, logs and traces whose only durable storage is an object store, so a strictly acknowledged write survives the crash of any Ravel process with no write-ahead log or replicated ingest layer.

• Databases
• Monitoring

A Python integration that lets the Haystack framework use Qdrant as its document store, as a drop-in replacement for other vector embedding stores.

• RAG
• Databases

An embedded, ACID-compliant database that combines SQL tables, vector and keyword search, and a bi-temporal knowledge graph in one engine and file, and assembles token-budgeted context for an LLM in a single query.

• RAG
• Databases

A SQL-like query language and command-line shell for the Qdrant vector database, letting a developer write insert, search and filter statements instead of calling the Qdrant Python client directly.

• RAG
• Databases

The official Java client library for the Pinecone vector database, letting JVM applications create and query Pinecone indexes over a shared HTTP client.

• Databases

A Rust database that speaks the PostgreSQL wire protocol and adds vector and graph access paths on top of the same catalog and on-disk storage engine. It is alpha software, not for production data.

• Databases

An embeddable Rust memory engine for AI agents that manages what is remembered instead of only storing it, applying temporal decay, contradiction detection, consolidation and a knowledge graph.

• Agent memory
• Databases

A fork of the turbovec vector search library that adds a graph-memory layer, letting a single query filter retrieval results by tenant, tag, source and time alongside vector similarity.

• Agent memory
• Databases