Introducing Create Context Graph
Blog post from Neo4j
Create Context Graph is a Neo4j Labs project that introduces a CLI tool designed to create full-stack context graph applications for AI agents, enhancing their memory by structuring it as a connected graph. This tool allows developers to quickly scaffold applications with integrated knowledge graphs, decision traces, and interactive graph visualizations, using the POLE+O model to categorize entities such as people, organizations, locations, events, and objects. It bridges the gap between flat chat logs and the complex, multi-hop questions AI agents need to answer by capturing the relationships and reasoning behind decisions. The tool supports a variety of domains, such as healthcare and software engineering, and offers connectors for data sources like Linear and Claude Code. By storing memory as a graph, it enables deeper understanding and reasoning capabilities in AI agents, providing real-time visualizations of decision paths. This open-source project is built on top of neo4j-agent-memory and is available for customization and community contributions.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 6 | 7,369 | 1,904 | 288 | -9% |
| AI Agents | 5 | 6,887 | 1,648 | 285 | -3% |
| Agent Context Engineering | 1 | 292 | 90 | 55 | +5% |
| LLM | 1 | 10,571 | 1,926 | 257 | +37% |
| MCP | 1 | 13,294 | 944 | 215 | +3% |
| Secrets Management | 1 | 2,462 | 459 | 124 | +13% |
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