Neo4j plugins

Provides 247 structured thinking skills and 68 agents for strategic reasoning, decision-making, research, writing, and analysis across domains like finance, fantasy sports, academic publishing, and AI/ML. Includes frameworks for Bayesian reasoning, valuation, experimental design, knowledge graphs, and content creation.

Work with Neo4j graph databases: Cypher queries, graph modeling, Aura provisioning, GraphRAG pipelines, vector indexes, Graph Data Science algorithms, data imports, Kafka/Spark integrations, and driver management for multiple languages.

Neo4j graph database expert for data modeling, Cypher query writing and optimization, schema design, driver upgrades, and graph performance tuning. Includes CLI tools for database management, modern Cypher 25 query generation, and migration of driver code from 4.x/5.x to 6.x.

Transform an Obsidian vault into an AI-powered second brain with daily journaling, knowledge graph generation, health data integration, pattern recognition, and meeting workflow automation. Includes instinct engine for capturing reusable patterns, security auditing, and content repurposing from talks.

Orchestrate offensive security operations: manage Neo4j intel graphs, coordinate multi-agent CVE/code analysis teams, preserve exploit state during compaction, and generate structured CTF/pentest writeups with failure analysis.

Conduct deep research across codebases, tickets, and documents using graph-based retrieval and Jira investigation; capture knowledge as structured artifacts and knowledge graphs; and generate comprehensive documentation for AI engineering projects.

Persist Claude Code sessions to a Neo4j knowledge graph, enabling recall of prior learnings, debugging context from past errors, and orchestrating multiagent workflows grounded in accumulated graph memory.

Develop and manage Memgraph graph databases: write Cypher queries with Memgraph-specific extensions, build custom query modules in C++, Python, or Rust, design graph data models, configure triggers and storage, run graph algorithms, and build GraphRAG systems with hybrid retrieval.

Provides a deterministic, durable memory layer for agent teams with bi-temporal facts, RBAC, audit trails, and zero-LLM recall, backed by Postgres, Neo4j, and Pinecone. Includes one-command install, full uninstall, and session telemetry hooks.

Scan YouTube channels, transcribe videos with Gemini, generate mind maps and concept taxonomies, then query the corpus with hybrid search and translate subtitles into Bosnian/Croatian/Serbian.

Manage Neo4j graph databases across cloud and local environments, execute Cypher queries, design and model graph schemas, and use Neo4j as persistent memory for structured information across Claude sessions.

Research any topic by building question trees, discovering sources, fetching content to disk (zero context cost), indexing into .mv2, and distilling expertise artifacts. Also runs Python in isolated Docker sandboxes for data analysis and DSPy sub-agents.