zer0dex

hermes-labs-ai/zer0dex

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

Python Apache-2.0

View on GitHub → Find it in the atlas

Install

git clone https://github.com/hermes-labs-ai/zer0dex.git

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Platform support

Derived from the project's own README, install route, CI configuration and release assets — not from running it.
PlatformRuns hereOn what evidence
WindowsLikelyInferred from the language or runtime. Nothing in the project says so.
WSL2LikelyInferred from the language or runtime. Nothing in the project says so.
macOSLikelyInferred from the language or runtime. Nothing in the project says so.
LinuxLikelyInferred from the language or runtime. Nothing in the project says so.
DockerNoNo evidence of support anywhere in the project.

Where it came from

Named by 1 of the 39 lists the atlas merges.

  • AI Agents (Jenqyang)

How it is classified

One topic, 2 harnesses. Each link is a prerendered page of everything else in that slice.

Context, Memory & RAGClaude CodeClaude / Anthropic

Related in Context, Memory & RAG

Closest first — projects that plug into the same harnesses, then the ones the most lists agreed on.

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