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docsagentLocal-first AI document intelligence layer for private agentic workflows
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Summary
DocsAgent offers a local-first AI document indexing and chat solution, enabling advanced AI agents to securely access private desktop files without cloud leakage. It targets developers and power users seeking to enhance AI agent capabilities with personal data while maintaining strict privacy and high performance. The primary benefit is empowering AI agents with private data context securely and efficiently.
How It Works
DocsAgent utilizes a native C++ engine for high-performance, local-first document parsing, indexing, and vector storage. It supports the Model Context Protocol (MCP) for seamless integration with AI agents, offering millisecond-level retrieval across extensive local document libraries. This approach ensures all data processing occurs strictly on the user's hardware, guaranteeing absolute privacy.
Quick Start & Requirements
npm install -g @docsagent/docsagentdocsagent add ~/Documents/Legal_Archive ~/Documents/Researchdocsagent search "What are the key terms in the Barclays contract?"docsagent serverHighlighted Details
search and add_docs via MCP.Maintenance & Community
The project aims to build an "open standard for Local RAG" and encourages community involvement through GitHub Issues for bug reports and feature requests. Users are encouraged to star the repository to support the project. Specific community channels (e.g., Discord, Slack) or notable contributors are not detailed in the README.
Licensing & Compatibility
DocsAgent is released under the Apache-2.0 License. This license generally permits commercial use and integration into closed-source projects, with standard attribution and notice requirements.
Limitations & Caveats
The README indicates that additional agent tools (e.g., list_documents, remove_document, status) are planned for future releases, suggesting the current toolset may be limited. No other explicit limitations, known bugs, or alpha status are mentioned.
2 weeks ago
Inactive