GetProfile
Self-hosted structured user profiling and long-term memory for AI agents.
A sharp, open-source choice for developers who want structured, self-hosted user memory. The customizable traits and clean proxy design are genuine differentiators. The lack of a managed cloud tier and the text-only focus limit its appeal for teams wanting a turnkey or multi-modal solution.
- Developers building AI agents with persistent memory
- Teams needing structured user profiling for personalization
- Privacy-conscious organizations requiring self-hosted solutions
- Projects that need customizable trait extraction from conversations
- Teams looking for a fully managed, no-setup solution (cloud is not yet released)
- Users who need multi-modal memory (images, audio) — text-only currently
- Projects that prefer a black-box memory solution with no customization
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In short
GetProfile — Self-hosted structured user profiling and long-term memory for AI agents. Best for Developers building AI agents with persistent memory, Teams needing structured user profiling for personalization, Privacy-conscious organizations requiring self-hosted solutions. Free to use.
Viability Score
How likely is GetProfile to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Structured user profile extraction with summary, traits, memories
- Typed traits with confidence scores
- Memory importance levels (relevance ranking)
- Fully customizable trait schema for extraction and injection
- Drop-in OpenAI-compatible proxy (gateway)
- Automatic system message injection with user context
- Background profile updates after each interaction
- Self-hosted via Docker with PostgreSQL backend
- Open source (Apache 2.0)
- Minimal latency impact
- Easy scaling with Docker Compose
- Seamless integration with existing OpenAI-based code
About GetProfile
GetProfile is an open-source, self-hosted LLM proxy that extracts structured user profiles and long-term memory from AI agent interactions. Instead of storing raw conversation blobs like generic memory solutions, it produces natural language summaries, typed traits with confidence scores, and relevance-ranked memories, all persisted in your own PostgreSQL database. It's built for developers building AI-powered applications who need persistent, structured user understanding without sacrificing data privacy. Key features include fully customizable trait schemas for extraction and injection, automatic system message injection with user context, background profile updates after each interaction, and minimal latency impact. The self-hosted, Apache 2.0 licensed codebase is transparent and auditable, with an OpenAI-compatible API for seamless integration. A cloud version is in development, but the current focus is on self-hosted deployment via Docker with PostgreSQL. Compared to black-box memory solutions, GetProfile gives you full control over data and schema, but requires you to manage infrastructure.
Behind the Verdict
GetProfile nails a specific problem: giving AI agents persistent, structured user memory without sending data to a third party. The drop-in proxy approach means you can add it to existing OpenAI-based code with minimal changes — a clear win for teams that already use OpenAI or compatible providers. The ability to define your own trait schemas (what to extract, how to inject) gives you fine-grained control over personalization, which is rare in off-the-shelf memory tools. We'd reach for this when building a conversational agent that needs to remember user preferences, details, or progress over time, and where data residency or privacy rules matter. It's also a strong fit if you want an auditable system — the open-source codebase lets you see exactly what's being stored and sent. Where it bites: you need to host it yourself via Docker and PostgreSQL, so it's not for teams without ops bandwidth or those who want a fully managed service. The cloud version is still 'coming soon,' so for now you're on your own for uptime and scaling. It's also text-only — no image or audio memory support. For a more managed alternative, consider Mem0 or RAG-based solutions that offer cloud hosting and multi-modal support, but you'll trade control and privacy. If you're a solo dev or small team comfortable with self-hosting and want structured memory, GetProfile is a solid, transparent pick.
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Use Cases
- Build a personal assistant that remembers user preferences and past conversations.
- Create a customer support bot that references previous tickets and user traits.
- Develop a learning companion that tracks progress and knowledge gaps over time.
- Power a recommendation engine that adapts based on user traits and history.
- Enhance a role-playing game agent with persistent personality and memory.
Limitations
- GetProfile requires self-hosting with Docker and PostgreSQL, which may be a barrier for non-technical teams.
- The cloud version is not yet available, so there is no zero-configuration option today.
- Trait extraction quality depends on the underlying LLM; schema customization can be complex for advanced use cases.
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