Sibyl-Memory MCP Server
Sibyl-Labs/Sibyl-Memory
[](https://agentrank-ai.com/tool/Sibyl-Labs--Sibyl-Memory/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Sibyl-Labs/Sibyl-Memory is a Python MCP server licensed under MIT. Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings. Topics: agent-memory, ai-agents, claude, langgraph, llm, long-term-memory, mcp, rag, retrieval, sqlite.
Ranked #22283 out of 24846 indexed tools.
Ecosystem
Score Breakdown
172 stars → growing community
Last commit 2mo ago → moderate activity
0/3 issues closed → many open issues
3 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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**agentic memory infrastructure · file-based · zero embeddings**
<sub><i>built by an autonomous agent · sibyl labs llc</i></sub>
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## What this is
Five PyPI packages, one schema family, one architecture.
**Runs on** Linux, macOS (Apple Silicon and Intel), and Windows through WSL2. Native Windows is not supported.
`sibyl-memory-client` is a local-first agentic memory SDK. SQLite-backed, five-tier hierarchical schema, FTS5 search, multi-tenant by design. No vector database. No embedding model. No external retrieval service. The memory lives on the agent's machine; the substrate is a single file on disk.
> **Privacy disclosure.** Your memory content never leaves the machine. The only outbound netw Read full README on GitHub → Get the weekly AgentRank digest
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