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Kashish

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Kashish

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Tool Features

  • User profile management for AI agents
  • Long-term memory storage
  • Open source
  • Enhances AI agent personalization

Description

GetProfile is a self-hosted, open-source platform that transforms how AI agents manage user profiles and long-term memory by extracting structured, confidence-weighted traits and importance-ranked memories. Ideal for developers seeking deep personalization and data control, it enables AI to deliver smarter, context-aware interactions while keeping user data securely in your own PostgreSQL database.

GetProfile is a self-hosted, open-source platform designed to provide AI agents with sophisticated user profile management and long-term memory capabilities. Its core purpose is to enable AI systems to maintain structured, meaningful, and actionable user data over time, enhancing personalization and contextual understanding. Unlike traditional memory solutions that often store unstructured blobs of text or raw data, GetProfile intelligently extracts and organizes information into natural language summaries, typed traits with confidence scores, and relevant memories annotated with importance levels. This structured approach allows AI agents to access and utilize user information more effectively, resulting in more personalized and context-aware interactions. At the heart of GetProfile's functionality is its ability to manage user profiles in a way that is both comprehensive and privacy-conscious. The platform stores all data in a PostgreSQL database that users host themselves, ensuring full control over sensitive information. Key features include detailed user profile management tailored specifically for AI agents, long-term memory storage that preserves important user details and interactions, and an open-source codebase that encourages transparency and customization. By extracting typed traits—such as preferences, habits, or personality indicators—with associated confidence scores, GetProfile enables AI systems to weigh the reliability of each piece of information. Additionally, memories are tagged with importance levels, helping prioritize what the AI should recall or emphasize during interactions. GetProfile is particularly well-suited for developers and organizations building AI agents that require deep personalization and contextual awareness. Use cases include virtual assistants, customer support bots, personalized recommendation engines, and any AI-driven application where understanding user history and traits over time is critical. Because it is self-hosted, it appeals to those with strict data privacy requirements or those who want to avoid reliance on third-party memory services. Its open-source nature also makes it attractive to developers who want to extend or adapt the platform to their specific needs. In terms of pricing, GetProfile is completely free to use, reflecting its open-source ethos. Users only need to provide their own hosting environment and PostgreSQL database, which may incur standard infrastructure costs depending on scale and deployment choices. This cost-effective model makes it accessible for startups, researchers, and enterprises alike. Compared to alternative memory and profile management solutions, GetProfile stands out by offering a structured and interpretable data model rather than unstructured text storage. Many generic memory solutions simply log conversation history or store raw data blobs, which can be difficult for AI agents to parse meaningfully. GetProfile’s approach of extracting summaries, traits with confidence, and importance-ranked memories provides a richer, more actionable dataset for AI personalization. Its self-hosted architecture also contrasts with cloud-only services, giving users greater control and security. However, there are some considerations to keep in mind. Since GetProfile requires self-hosting and database management, users need technical expertise to deploy and maintain the system effectively. It may not be ideal for those seeking a plug-and-play SaaS solution. Additionally, while the platform excels at structuring user data, the quality of trait extraction and memory importance ranking depends on the AI models integrated with it, so results may vary based on implementation. Finally, as an open-source project, ongoing support and feature updates depend on community engagement and contributions. Overall, GetProfile offers a powerful, privacy-conscious, and developer-friendly solution for AI agents needing advanced user profile and long-term memory management. Its structured data approach and open-source availability make it a compelling choice for anyone looking to build highly personalized AI experiences with full control over their data.

Frequently Asked Questions

What is GetProfile?

GetProfile is an open-source, self-hosted platform that provides structured user profile management and long-term memory storage for AI agents. It extracts natural language summaries, typed traits with confidence scores, and relevant memories with importance levels, storing them in a PostgreSQL database you control.

How much does GetProfile cost?

GetProfile is completely free to use as an open-source project. Users only need to cover their own hosting and database infrastructure costs.

Who is GetProfile best for?

GetProfile is best suited for developers, researchers, and organizations building AI agents that require personalized, context-aware interactions and want full control over user data through self-hosting.

What are the main features of GetProfile?

Key features include user profile management tailored for AI agents, long-term memory storage with importance ranking, extraction of typed traits with confidence scores, natural language summaries, open-source codebase, and self-hosted PostgreSQL storage.

Does GetProfile offer a free trial?

Since GetProfile is an open-source and free platform, there is no need for a free trial. You can download and deploy it immediately.

What integrations does GetProfile support?

GetProfile integrates with AI agents and models that can provide input for trait extraction and memory importance scoring. It stores data in PostgreSQL, making it compatible with any system that can connect to this database. Specific integrations depend on your AI stack.

How does GetProfile work?

GetProfile works by processing user interactions and data to extract structured information such as natural language summaries, typed traits with confidence levels, and memories tagged by importance. This structured data is stored in a PostgreSQL database you host, allowing AI agents to access and personalize interactions based on rich, long-term user profiles.

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