gibram
CommunityBuild a local knowledge graph from markdown docs.
Authorcameronsjo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GibRAM provides an in-memory knowledge graph and vector search to organize and explore large collections of Markdown documents locally.
Core Features & Use Cases
- In-memory graph with entity nodes, relationships, and embeddings for fast, private research.
- Session-scoped corpora indexing of Markdown files for cross-doc reasoning and ADR tracing.
- Claude/MCP integration for querying and indexing workflows, supporting local Ollama or OpenAI backends.
Quick Start
Index a directory of Markdown files into GibRAM and start querying for related concepts.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gibram Download link: https://github.com/cameronsjo/dev-toolkit/archive/main.zip#gibram Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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