Skip to contentMnema — AI Memory Layer MCP Server | MCPpediaMMnema — AI Memory Layer MCP Server
Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
RegistryRemotehoanglt1223 42FairInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"hoanglt1223-secondbrain": {
"url": "https://secondbrain.hoangha.shop/api/mcp"
}
}
}
Environment
This server does not declare environment variables.
Related servers
SLocal-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.
CCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
FAQ
- What is Mnema — AI Memory Layer?
- Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
- How do I install Mnema — AI Memory Layer?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is Mnema — AI Memory Layer official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 42 (Fair). The formula is published on the methodology page.
Reviews
0 published · no average
Sign in to review this server.
HLocal-first agentic RAG with citations - hybrid search, reranking, multimodal document retrieval
OInvestment runtime for AI agents — LLM investment committee, portfolio ledger, decision accounting
ATurn any codebase into a queryable knowledge graph — offline-first, zero API keys.
MLocal-first, cloud-friendly memory — 100+ tools, 99.2% LongMemEval-S retrieval@8, hybrid search.