Open Source Contextual Database for LLMs
Save, manage, and persist context from interactions with Large Language Models. Enable seamless research continuity and context-aware workflows across different LLMs and sessions.
Contextual Database
Store, retrieve, and continue research tasks across different LLMs and sessions.
Compatible with all major LLMs and AI platforms.
Claude
ChatGPT
Gemini
Perplexity
Kimi
Grok
Copilot
Cursor
Meta
xAIClaudeChatGPTGeminiPerplexityKimiGrokCopilotCursorMetaxAIWhy Choose ContinueDB?
See ContinueDB in Action
Explore the intuitive interface designed for managing contextual data across LLM interactions and research workflows.
Main Dashboard
Your central hub for managing contextual data, viewing recent sessions, and organizing research projects.
Context Management
Save, organize, and manage your LLM conversation contexts with advanced search and filtering capabilities.
Research Continuity
Seamlessly continue research tasks and conversations across different LLM sessions with preserved context.
Data Analytics
Track usage patterns and context relationships.
API Integration
FastAPI backend with comprehensive endpoints.
Contextual Storage
Efficiently store and retrieve LLM conversation contexts with metadata
Advanced Search
Find specific contexts using semantic search and filtering options
Multi-LLM Support
Works with ChatGPT, Claude, Gemini, and other popular LLMs
Open Source & Community Driven
ContinueDB is built in the open with FastAPI backend and Next.js frontend. Contribute, suggest features, report bugs, or explore our containerized architecture.
Main Repository
Full-stack contextual database with FastAPI backend, Next.js frontend, and Docker containerization.
Modern full-stack architecture
How ContinueDB Works
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