concierge
★ 528
vs
stashbase
★ 1.1k
concierge vs stashbase
concierge: Concierge AI implements the Model Context Protocol (MCP) to provide a robust framework for building reliable AI applications. It helps orchestrate AI agent workflows through progressive tool disclosure, enforced ordering, and server-side state management.; 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
conciergeRAG / Knowledge Base · ★ 528
Building reliable AI agent applications with predictable behavior
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
conciergestashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 528
★ 1.1k
License
NOASSERTION
Apache-2.0
Install Command
pip install concierge-sdk
brew install --cask liliu-z/stashbase/stashbase
Updated
4mo ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Model Context Protocol, Workflow Orchestration
Local Files, RAG, AI Agents
03
Features
concierge01Progressive Tool Disclosure
02Enforced Tool Ordering
03Shared State Management
04Semantic Search for Tools
05Protocol Compatibility (MCP)
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
concierge↳Building reliable AI agent applications with predictable behavior
↳Orchestrating complex multi-step workflows for AI agents
↳Managing large APIs for AI agents with dynamic tool discovery
↳Implementing e-commerce or business logic workflows for AI agents
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
concierge—
stashbaseTrending
FAQ
FAQ
What is the difference between concierge and stashbase?
Both concierge and stashbase are in the RAG / Knowledge Base category. concierge has 528 stars, while stashbase has 1.1k stars.
Which is better, concierge or stashbase?
The best choice depends on your use case. Choose concierge if Building reliable AI agent applications with predictable behavior, and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is concierge free or open source?
Yes, concierge is open source on GitHub (NOASSERTION).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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