AI-assisted development MCP providing long-term, on-device "AI memory" for IDEs. Powered by Kuzu GraphDB and exposed via MCP server
Most monitoring and observability work still happens through a UI a human drives. GraphMemory MCP server moves it into the conversation instead. AI-assisted development MCP providing long-term, on-device "AI memory" for IDEs. Powered by Kuzu GraphDB and exposed via MCP server.
An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP (Model Context Protocol) server that provides semantic vector search, graph-based knowledge storage, and real-time analytics. It integrates with VSCode, Cursor, and Windsurf through dedicated IDE plugins.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Configuration is passed through the environment: JWT_SECRET_KEY, DATABASE_URL, REDIS_URL, KUZU_DB_PATH, CODON_LIB_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the monitoring and observability options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by elementalcollision; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against GraphMemory's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Variable | Description | Required |
|---|---|---|
| JWT_SECRET_KEY | Credential the server authenticates with. | Yes |
| DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| REDIS_URL | Endpoint or connection string the server talks to. | Yes |
| KUZU_DB_PATH | Filesystem location the server is allowed to use. | Optional |
| CODON_LIB_PATH | Filesystem location the server is allowed to use. | Optional |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.