zer0dex MCP Server
hermes-labs-ai/zer0dex
A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector store, queried before each message. For cross-project recall where flat memory files or vector-only RAG fall short. Local-first. Reference implementation.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
hermes-labs-ai/zer0dex is a Python tool licensed under Apache-2.0. A local dual-layer memory pattern for AI agents: a compact, human-readable markdown index paired with semantic retrieval from a local vector store, queried before each message. For cross-project recall where flat memory files or vector-only RAG fall short. Local-first. Reference implementation.
Ranked #4741 out of 24840 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
60 stars → early stage
Last commit today → actively maintained
1/3 issues closed → many open issues
3 contributors → small team
No dependents → no downstream usage
149 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Badge all embed codes →
[](https://agentrank-ai.com/tool/hermes-labs-ai--zer0dex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/hermes-labs-ai--zer0dex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/hermes-labs-ai--zer0dex" alt="AgentRank"></a> Matched Queries
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.