memory
Official MCP reference server (memory); see repo README.
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.
| Category | AI, Memory & RAG |
| Publisher type | community |
| ID | orneryd/NornicDB |
| Repository | https://github.com/orneryd/NornicDB |
| Stars | 905 |
| Last update | 2026-10-14 |
| Language | Go |
| Source | github-topic |
⚠️ Install unverified. We inferred the runtime from the repo language and did not confirm the package name. The configs below are templates. Copy the exact command from the README.
Some servers also need API keys or environment variables. Check the README.
claude_desktop_config.json{
"mcpServers": {
"nornicdb": {
"command": "<command>",
"args": [
"<package-name-from-README>"
]
}
}
}.cursor/mcp.json{
"mcpServers": {
"nornicdb": {
"command": "<command>",
"args": [
"<package-name-from-README>"
]
}
}
}.vscode/mcp.json{
"servers": {
"nornicdb": {
"type": "stdio",
"command": "<command>",
"args": [
"<package-name-from-README>"
]
}
}
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Official MCP reference server (memory); see repo README.
Official MCP reference server (sequentialthinking); see repo README.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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