Neo4j · Knowledge graphs

AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing.

this-rs/project-orchestrator

Installs the cognee AI memory library in a Python environment, sets the LLM key and gets a first remember and recall script running with the Python SDK.

topoteretes/cognee

Graph database implementation for relationship-heavy data models.

ancoleman/ai-design-components

Neo4j Python Driver v6 — driver lifecycle, executequery, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching…

neo4j-contrib/neo4j-skills

Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud detection / fraud rings, agentic memory /…

aws/agent-toolkit-for-aws

Use Neo4j GenAI Plugin ai.text. An agent skill from neo4j-contrib/neo4j-skills.

neo4j-contrib/neo4j-skills

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

neo4j-contrib/neo4j-skills

Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or…

neo4j-contrib/neo4j-skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Use graphify-dotnet to generate codebase knowledge graphs, architecture snapshots, and exportable repository maps from .NET or polyglot source trees, with optional AI-enriched semantic relationships.

managedcode/dotnet-skills

Build real-time knowledge graphs for AI agents using Graphiti by Zep

wentorai/research-plugins