
Getprofile.org
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APIs, SQL & ScriptingData ManagementAI Models & LLM ToolsAgent Builders & OrchestrationKnowledge Base (RAG) Assistants
GetProfile – AI-powered user profiles and long-term memory for AI agents
About Getprofile.org
GetProfile is an open-source, self-hosted LLM proxy that provides persistent user profiles and long-term memory for AI agents. It automatically captures conversations between users and AI systems, extracting structured traits, preferences, and relevant memories to enhance personalization and context retention. The tool functions as a drop-in replacement for OpenAI API calls, requiring no changes to existing code—users simply route requests through the GetProfile proxy by changing their base URL and headers. GetProfile automatically injects user profile summaries, typed traits with confidence scores, and relevant memories into system prompts before each interaction. The extracted profiles include natural-language summaries, personality traits, communication styles, interests, and mood information. All data is stored securely in your own PostgreSQL database, ensuring complete data privacy and control. The tool is Apache 2.0 licensed, free to run on your own servers, and fully transparent with an auditable codebase available on GitHub. Key differentiators include the ability to evolve profiles over time as users share more information, intelligent merging of new insights, and the elimination of long message histories and context window bloat by storing only relevant, structured information. GetProfile supports multiple input formats including JSON, Markdown, and plain text, making it adaptable to various data sources and use cases.
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Key Features
- OpenAI-compatible drop-in LLM proxy that requires no application code changes
- Automatic extraction of structured user traits, preferences, and memories with confidence scores
- Self-hosted architecture with profiles persisted to PostgreSQL for full data control and privacy
Use Cases
- Enhancing AI chatbots with persistent memory and personalized responses based on user history and preferences
- Building AI agents that understand user communication styles and adapt interactions accordingly
- Creating dynamic player and character profiles in gaming applications that evolve based on user behavior