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A lightweight, no-frills RESTful API designed for managing knowledge bases and files stored in vector databases—no GPU, internet, or cloud services required! LocalRecall provides a simple and generic abstraction layer to handle knowledge retrieval, ideal for AI agents and chatbots to manage both long-term and short-term memory seamlessly.
Currently, LocalRecall is batteries included and supports multiple vector database engines:
- Chromem: Local file-based vector store (default)
- PostgreSQL: Production-ready PostgreSQL with TimescaleDB, pgvector, and pgvectorscale for hybrid search (BM25 + vector similarity)
It can easily integrate with LocalAI, LocalAGI, and other agent frameworks, offering an intuitive web UI for convenient file management, including support for raw text inputs.
🌟 Features
- ⚡ RESTful API: Simple and intuitive REST interface for knowledge management.
- 📡 Fully Local: Operates offline without external cloud dependencies.
- 📚 RAG Knowledgebase: Retrieve-Augmented Generation (RAG) compatible with multiple vector databases.
- 🗃️ Memory Management: Ideal for AI-driven applications requiring memory abstraction.
- 📂 File Support:
- ✅ Markdown
- ✅ Plain Text
- ✅ PDF
- ⏳ More formats coming soon!
Tags:
ai
tool
agent
platform
knowledge base
Last modified 15 April 2026