Open-source alternatives to Cayley

This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications. The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals

Dgraph is a distributed graph database designed to store and query highly connected data. It organizes information as nodes and edges to represent complex relationships between entities, providing a platform for managing and analyzing deeply linked datasets. The system functions as a horizontally scalable cluster that partitions data across multiple nodes to maintain performance and availability as information volume increases. It utilizes a specialized query language built for low-latency navigation of interconnected data points, allowing for the execution of complex queries across large-sca

Titan is a distributed graph database and computing engine designed for storing and querying massive datasets of interconnected nodes and edges across multi-machine clusters. It functions as a scalable graph storage layer and transactional store, providing a framework for executing large-scale graph processing jobs and deep traversals. The system is distinguished by its pluggable storage backend, which decouples the graph engine from the physical persistence layer. It utilizes vertex-cut data partitioning to balance processing loads and a set-cardinality property model that allows single prop

Nebula is a distributed graph database designed for storing and querying massive volumes of interconnected vertices and edges across a horizontally scalable cluster. It functions as a Kubernetes-native database and a distributed graph analytics engine, utilizing a Raft-based distributed store to ensure strong consistency and high availability. The system features an OpenCypher query engine for performing complex graph traversals and pattern matching. It distinguishes itself with a decoupled compute-storage architecture and a shared-nothing distributed design, allowing query processing and dat

Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist

Bloodhound is an Active Directory attack path mapper and security auditor designed to visualize trust relationships and permission chains. It serves as an attack surface management tool that identifies paths to domain administrator and other high-privileged accounts. The project uses a graph database analyzer to map complex identity and access relationships. It quantifies the risk of privilege escalation by identifying misconfigured permissions and trust links within Windows domains. The system provides capabilities for Active Directory security analysis, identity and access auditing, and ne

Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries

Planning with files is an enterprise knowledge graph platform designed to transform unstructured organizational data into a searchable, interconnected network. By utilizing a graph-based retrieval-augmented generation engine, the system grounds language model outputs in verified internal data, ensuring that responses are explainable, traceable, and free from hallucinations. The platform distinguishes itself through a focus on data sovereignty and secure, private infrastructure deployment. It enables organizations to maintain full control over sensitive information by processing data locally o

Levelup is a sorted key-value storage system that saves and retrieves data using byte arrays as keys and values. It provides a compatibility layer for Node.js and browsers that offers a unified interface for storage backends compliant with a specific abstract standard. The project features an atomic batch write engine to execute multiple write and delete operations as a single unit for data consistency. It includes a range-based data streamer for reading keys and values as continuous sequences and an event-driven storage monitor to track asynchronous updates and state changes. The system cov

llm-graph-builder is a tool for transforming unstructured data into structured Neo4j graph databases using large language models. It functions as a graph orchestrator that automates the construction of nodes and relationships from raw text based on custom schemas. The project provides a visualizer for analyzing relational data as interactive networks and a token monitor to track daily and monthly API consumption per user. It also includes a vector embedding generator that utilizes configurable model providers to enable semantic search and retrieval augmented generation. The system covers cap

Cognee is an agentic memory management platform designed to provide autonomous agents with long-term semantic recall and structured knowledge. It functions as a framework for building persistent memory systems that connect large language models to graph-based knowledge and vector storage, enabling agents to maintain context across complex tasks and multiple sessions. The platform distinguishes itself through a hybrid approach that combines semantic similarity search with structural graph traversal, allowing for context-aware information retrieval. It features a modular architecture that orche

Simple key-value store abstraction and implementations for Go (Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB and many more)

Datastore Connectivity in go

TinaCMS is a headless content management framework that bridges local Git-based file storage with a visual, in-context editing interface. By treating your repository as the single source of truth, it enables developers to manage content as structured data files while providing editors with a browser-based dashboard to modify website content directly within a live preview. The framework distinguishes itself by transforming local files into a unified GraphQL API, which powers both the administrative interface and the application's data retrieval layer. This architecture allows for compile-time

Gun is a decentralized graph database and synchronization engine designed for real-time, peer-to-peer data management. It functions as a JavaScript library that enables applications to maintain consistent state across distributed nodes without relying on a central server. By utilizing conflict-free replicated data types and a gossip protocol, the system ensures that data updates propagate across the network and reconcile automatically. The project distinguishes itself through a focus on decentralized identity and security, utilizing public-key infrastructure to authenticate users and sign dat

Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language models. It functions as a non-intrusive layer that intercepts outbound model requests to automatically capture interaction history and execution traces, ensuring that agents maintain continuity across sessions without requiring modifications to existing application logic. The platform distinguishes itself through a dual-model storage architecture that maintains information as both structured relational primitives for precise fact retrieval and rolling narrative summaries for situ

Ragas is an evaluation framework designed to measure the performance of retrieval-augmented generation pipelines and autonomous agent workflows. It provides a comprehensive suite of tools for benchmarking system outputs, utilizing language models as automated judges to score performance against defined rubrics and reference data. By standardizing inputs, retrieved contexts, and generated responses into a unified schema, the project enables consistent analysis across complex AI applications. The framework distinguishes itself through its ability to generate synthetic test datasets from existin

Sourcetrail is an interactive source code explorer and visualizer designed for indexing and navigating relationships between symbols and structures across large, multi-language codebases. It functions as a static analysis indexer and code dependency visualizer that maps calls and dependencies between source files to help reveal project architecture. The tool enables multi-language project analysis by using a language-agnostic indexing system to track symbols across different programming languages within a single interface. It allows for the discovery of software architecture and the explorati

Cozo is a logic-based database engine that functions as a relational data store, an embedded graph database, and a temporal vector database. It utilizes a Datalog-inspired query language to execute relational, recursive, and graph queries. The system distinguishes itself through specialized indexing for high-dimensional vector similarity searches and near-duplicate detection using locality sensitive hashing. It also provides built-in temporal versioning, allowing for historical state retrieval and time-travel queries to access data as it existed at specific points in time. Its broader capabi

This project is a high-performance semantic graph database engine designed for storing and querying massive RDF datasets. It functions as a specialized platform for managing linked data and complex relationship models, utilizing standard semantic web protocols to integrate and analyze distributed information sources. The system distinguishes itself through its use of B-Tree indexing to enable rapid traversal of relationships within large-scale datasets and its support for the Triple Pattern Fragments protocol to facilitate scalable web-based access. It provides automated tools for transformin

LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to

This project is a containerized development stack and application framework for building retrieval-augmented generation systems. It provides a dockerized AI sandbox that integrates local model runtimes, knowledge graphs, and vector stores to enable the creation of contextual chatbots. The stack is distinguished by its graph-based vector store, which combines structured knowledge graphs with vector indices for both semantic and structural data retrieval. It allows for local model hosting with CPU or GPU acceleration, enabling generative tasks without reliance on external cloud APIs. The frame

Amass is a network attack surface mapper and reconnaissance framework designed to discover and map the external, internet-facing infrastructure of a target organization. It functions as an open source intelligence tool that identifies public network boundaries and locates hidden or forgotten subdomains to define an organization's total reachable footprint. The project utilizes passive-source data aggregation from external APIs and public databases alongside active DNS brute-forcing and recursive subdomain expansion. It employs a graph-based asset mapping system to visualize the relationships

Sanity is a headless content management platform and structured content API that stores data and delivers it via an API to any frontend or device. It functions as a real-time content studio, providing a customizable editing environment for managing digital assets and documents through a type-safe, decoupled data layer. The platform is distinguished by a graph-oriented query engine using the GROQ language to filter, transform, and retrieve structured content. It enables real-time collaborative editing with live presence indicators and a schema-driven approach to document management. The syste