Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.
Describe a labeled property graph once in a YAML manifest; GraFlo builds the schema and ingests records from CSV, JSON, Parquet, SQL, RDF/SPARQL, REST APIs or Kafka into ArangoDB, Neo4j, TigerGraph, FalkorDB, Memgraph, NebulaGraph, PostgreSQL or a directory on disk.
GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Semiont is a Context Layer that supports human+ai collaborative knowledge work. Use it as: a Wiki, Knowledge Base, Context Graph, Semantic Layer, or Agentic Memory.
An independent .NET implementation of a Neo4j-backed memory provider for AI agents. Persistent graph-native memory for Microsoft Agent Framework, with GraphRAG interoperability for Neo4j.
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.
Define models with decorators, run fully type-safe queries against them, eager load relationships in a single trip, and let TypeScript catch your mistakes before Neo4j does