kglite
★ 73
vs
stashbase
★ 1.1k
kglite vs stashbase
kglite: KGLite is an embedded, Cypher-queryable knowledge graph engine for Python and Rust, designed to serve applications, analysts, and LLM agents without an external database. It offers advanced features like schema-aware descriptions for LLMs, temporal querying over historical data, and a declared ontology for data quality.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
01
TL;DR
kgliteRAG / Knowledge Base · ★ 73
Providing domain knowledge (legal precedents, regulatory rules, medical ontologies) for LLM agents.
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
When to skip:
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
02
Side-by-Side Comparison
Field
kglitestashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 73
★ 1.1k
License
MIT
Apache-2.0
Install Command
pip install kglite
brew install --cask liliu-z/stashbase/stashbase
Updated
2d ago
2d ago
Open Source
Yes
Yes
Tags
Knowledge Graph, LLM Agents, Cypher Query Language
Local Files, RAG, AI Agents
03
Features
kglite01Progressive-disclosure schema (`describe()`) optimized for LLM context windows.
02As-of queries over historical data using `valid_at()` and `valid_during()` functions.
03Declared ontology with data-quality gates and audit scorecards for semantic integrity.
04Hybrid retrieval combining vector similarity (`text_score()`) with Cypher traversal.
05Embedded, in-process graph engine with various storage modes (in-memory, mmap, disk).
stashbase01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
kglite↳Providing domain knowledge (legal precedents, regulatory rules, medical ontologies) for LLM agents.
↳Transforming business data from tabular sources (SQL, CSV, DataFrames) into a queryable graph.
↳Structuring RAG corpora with documents, chunks, entities, and their relationships for hybrid retrieval.
↳Codebase analysis by parsing code into a graph of functions, classes, and modules.
↳Ingesting Markdown knowledge bases (Obsidian vaults, Claude memory) into a queryable graph for analysis and agent memory.
stashbase↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
kglite—
stashbaseTrending
FAQ
FAQ
What is the difference between kglite and stashbase?
Both kglite and stashbase are in the RAG / Knowledge Base category. kglite has 73 stars, while stashbase has 1.1k stars.
Which is better, kglite or stashbase?
The best choice depends on your use case. Choose kglite if Providing domain knowledge (legal precedents, regulatory rules, medical ontologies) for LLM agents., and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is kglite free or open source?
Yes, kglite is open source on GitHub (MIT).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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