stashbase
★ 1.1k
vs
Agent-Framework-Samples
★ 389
stashbase vs Agent-Framework-Samples
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.; Agent-Framework-Samples: This repository offers a comprehensive guide to building intelligent agents with the Microsoft Agent Framework. It provides practical examples and tutorials for both Python and .NET implementations, covering core concepts, tool integration, RAG, and multi-agent systems.
01
TL;DR
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.
Agent-Framework-SamplesRAG / Knowledge Base · ★ 389
Building travel planning agents
02
Side-by-Side Comparison
Field
stashbaseAgent-Framework-SamplesCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 1.1k
★ 389
License
Apache-2.0
MIT
Install Command
brew install --cask liliu-z/stashbase/stashbase
git clone https://github.com/microsoft/agent-framework.git && cd agent-framework/python && pip install -e .
Updated
1d ago
3mo ago
Open Source
Yes
Yes
Tags
Local Files, RAG, AI Agents
AI Agents, Python, .NET
03
Features
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.
Agent-Framework-Samples01Multiple Provider Support
02Tool Integration
03RAG Capabilities
04Multi-Agent Orchestration
05Evaluation & Debugging
04
Use Cases
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.
Agent-Framework-Samples↳Building travel planning agents
↳Developing knowledge-enhanced agents with RAG for file search
↳Orchestrating multi-agent systems for complex workflows like marketing content generation
05
Best For
stashbaseTrending
Agent-Framework-SamplesHidden Gem
FAQ
FAQ
What is the difference between stashbase and Agent-Framework-Samples?
Both stashbase and Agent-Framework-Samples are in the RAG / Knowledge Base category. stashbase has 1.1k stars, while Agent-Framework-Samples has 389 stars.
Which is better, stashbase or Agent-Framework-Samples?
The best choice depends on your use case. Choose stashbase if Providing AI agents with searchable access to research papers and contracts stored locally., and Agent-Framework-Samples if Building travel planning agents.
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
Is Agent-Framework-Samples free or open source?
Yes, Agent-Framework-Samples is open source on GitHub (MIT).
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