MCP低风险未认领
Graph-Mem
Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Sathvik-1007sathvik-1007/graphmem-mcp
server.json
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.Sathvik-1007/graphmem-mcp",
"description": "Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.",
"title": "Graph-Mem",
"repository": {
"url": "https://github.com/Sathvik-1007/GraphMem-MCP",
"source": "github"
},
"version": "1.0.0",
"websiteUrl": "https://github.com/Sathvik-1007/GraphMem-MCP#readme",
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "graphmem-mcp",
"version": "1.0.0",
"transport": {
"type": "stdio"
},
"environmentVariables": [
{
"description": "Path to the SQLite database file. Defaults to .graphmem/graph.db relative to the working directory.",
"name": "GRAPHMEM_DB_PATH"
},
{
"description": "sentence-transformers model ID used for semantic search. Defaults to all-MiniLM-L6-v2, downloaded on first use.",
"name": "GRAPHMEM_EMBEDDING_MODEL"
},
{
"description": "Maximum entities visited by a single graph traversal. Defaults to 5000.",
"name": "GRAPHMEM_TRAVERSAL_NODE_BUDGET"
},
{
"description": "Logging verbosity: DEBUG, INFO, WARNING, ERROR, or CRITICAL. Defaults to WARNING.",
"name": "GRAPHMEM_LOG_LEVEL"
}
]
}
]
}权限
声明检测
运行代码—
python安装—
pypi:graphmem-mcp@1.0.0安装时运行脚本—无
网络无无
需要的凭据无无
工作区外的路径—无
智能体工具—无
检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
版本
- #11.0.0最新2026年10月7日
Graph-Mem在 Codeg 中打开