GetProfile is live · free · last verified 30 Oct 2026 · viability monitor
GetProfile
GetProfile gives your AI agent persistent user memory through an OpenAI-compatible proxy with structured user profiles.
If your agent needs structured per-user memory and you would rather own the data than rent it, GetProfile is a credible open-source option with a proxy design that slots into OpenAI-based code without a rewrite. The trait-schema control is the real draw. The tradeoff is operational: you run Docker and PostgreSQL, and the hosted version is still just a waitlist.
Verdict generatedVerified 5h ago · liveness 66/100 · cite: rightaichoice.com/tools/getprofile
- Developers building AI agents that need persistent per-user memory
- Teams that want structured user profiling for personalization on their own infrastructure
- Privacy-conscious organizations requiring self-hosted, auditable memory storage
- Projects needing a customizable trait extraction schema from conversations
- Teams without Docker and PostgreSQL operational capacity
- Projects that need multi-modal memory beyond text
- Buyers who want a fully managed memory service today
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip GetProfile if you want a managed memory service you never have to operate, or if your agent needs image, audio, or video memory rather than text.
Self-hosting has no license fee, but you pay for the Docker host and PostgreSQL instance you run GetProfile on.
GetProfile itself is Apache 2.0 open source at no license cost, so your real budget line is infrastructure plus the extra LLM tokens the proxy adds. That puts it in a different cost shape from managed memory platforms like Mem0 or Zep, where you pay a subscription instead of running PostgreSQL and Docker yourself.
In short
GetProfile — GetProfile gives your AI agent persistent user memory through an OpenAI-compatible proxy with structured user profiles. Best for Developers building AI agents that need persistent per-user memory, Teams that want structured user profiling for personalization on their own infrastructure, Privacy-conscious organizations requiring self-hosted, auditable memory storage. Free to use.
What is GetProfile?
GetProfile — GetProfile gives your AI agent persistent user memory through an OpenAI-compatible proxy with structured user profiles. Best for Developers building AI agents that need persistent per-user memory, Teams that want structured user profiling for personalization on their own infrastructure, Privacy-conscious organizations requiring self-hosted, auditable memory storage. Free to use.
GetProfile is an open-source LLM proxy that adds long-term user memory to AI agents. Instead of storing raw conversation blobs, it extracts a natural-language summary, typed traits with confidence scores, and importance-ranked memories into a structured profile kept in your own PostgreSQL database. It is built for developers shipping agents that need to remember and personalize per user without handing memory to an opaque hosted layer. The mechanism is deliberately simple: point your existing OpenAI SDK or AI-SDK code at the GetProfile proxy, and it intercepts each request, injects a system message containing the profile summary, traits, and relevant memories, forwards the enriched request to your LLM provider, then updates the profile in the background after the response comes back. No rewiring of application logic. What separates it is control over the schema. You define the trait schema yourself: which traits matter, how they are extracted from interactions, and how they get injected into prompts. That keeps context windows lean compared to replaying full message history, and avoids the black-box behavior of generic memory stores. Deployment is Docker plus PostgreSQL on a lightweight Hono proxy with minimal external dependencies, under Apache 2.0. Against managed memory platforms like Mem0 or Zep, GetProfile trades turnkey convenience for self-hosted control and auditability. A managed GetProfile Cloud is announced with an open waitlist; self-hosting is the path available now.
Key features
- Drop-in proxy for the OpenAI API
- GetProfile SDK plus OpenAI and AI-SDK proxy compatibility
- Structured user profile extraction from interactions
- Natural-language profile summaries
- Typed user traits with confidence scores
- Relevant memories with importance levels
- Customizable trait extraction schema
- Configurable prompt injection format
- Automatic system message injection per request
- Background profile and memory updates after responses
- Self-hosted deployment via Docker
- PostgreSQL persistence for profiles
- Lightweight Hono proxy with minimal dependencies
- Docker Compose scaling
- Apache 2.0 open-source license
Behind the verdict
We would reach for GetProfile when the memory problem is specifically per-user personalization and you want the profile to live in your own database. The structured-trait approach is the part that matters: you decide what a trait is, how it gets extracted, and how it lands in the prompt, so context windows stay lean and behavior stays predictable instead of replaying every prior message. The drop-in proxy format is the other reason to look. If you already build on the OpenAI API or AI-SDK, repointing at GetProfile is a config change rather than a refactor, and the response-path background update keeps the added latency off the critical loop. Where it bites is operations. This is Docker plus PostgreSQL that you deploy, scale, and babysit. If nobody on the team wants to own that, the self-hosted value evaporates quickly and a managed platform makes more sense. Compared with Mem0 or Zep, the difference is control versus convenience. Those give you a hosted memory layer with less setup; GetProfile gives you the schema, the storage, and the audit trail. Teams with compliance or data-residency pressure will find that trade worth making. One caveat on scope: this is text memory. If your agents need to remember images or audio context, plan around that rather than expecting it. The hosted route exists only as an announced GetProfile Cloud with an open waitlist, so treat self-hosting as the real today path. Pick GetProfile if you want structured, self-owned user memory and have the infrastructure appetite; pass if you want zero-ops or are prototyping fast and would rather defer the database work.
Models under the hood
as of 2026-10-25
Limitations
- GetProfile is self-hosted only today, so you need Docker and PostgreSQL to run it - a real barrier if your team is non-technical.
- Operating it means managing infrastructure, though the proxy is lightweight and designed to scale with Docker Compose.
- It handles text memory, so teams needing image, audio, or video memory are out of scope.
- GetProfile Cloud is announced with a waitlist but no stated release date, so there is no one-click managed path available right now.
as of 2026-10-10
Researching GetProfile? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Is GetProfile still active?
GetProfile is live · free · last verified 30 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is GetProfile? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about GetProfile?
What people actually say about GetProfile — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
ResearchedDiscussed by users across 2 sources (Hacker News, Product Hunt) · researched Aug 30, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Structured typed traits with confidence scores instead of raw blobs
- +Self-hosted, open-source, Apache 2.0—full data control
- +Drop-in OpenAI-compatible proxy, no code rewrite needed
- +PostgreSQL storage integrates with existing stack
- +Automatic system message injection personalizes agent responses
- −Cloud version not available yet, so no managed option
- −No public benchmarks on accuracy, latency, or scale
- −PII handling and export unanswered in community discussions
- −Nuanced language (sarcasm) extraction untested and uncertain
- −Thin community support and sparse docs for troubleshooting
- • Self-hosting costs: your own server, PostgreSQL, and maintenance time
- • No support or SLA for the free tier—you're on your own
- • Potential future cost when the cloud version launches and you want to migrate
How we verified this
Every listed fact about GetProfile— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 30 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified GetProfile 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed who it suits, summary, our verdict, description, features, pricing tiers, who should skip it
- — changed SSL certificate
- — changed description, who it suits, who should skip it, use cases, our verdict, features, hidden costs, summary, limitations, switching in, switching out, pricing tiers, pricing fit, setup time
- — changed pricing tiers
- — changed link health
- — changed who should skip it, hidden costs, switching in, pricing fit, features, description, limitations, switching out, summary, setup time, our verdict
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does GetProfile cost in 2026?
GetProfile: Free to use. Pricing last verified 30 Oct 2026.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where GetProfile's pricing actually pencils out — and where peers do it cheaper.
GetProfile itself is Apache 2.0 open source at no license cost, so your real budget line is infrastructure plus the extra LLM tokens the proxy adds. That puts it in a different cost shape from managed memory platforms like Mem0 or Zep, where you pay a subscription instead of running PostgreSQL and Docker yourself.
Has GetProfile's pricing changed?
No plan price for GetProfile has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick GetProfile?
Pick GetProfile if you are Developers building AI agents that need persistent per-user memory, Teams that want structured user profiling for personalization on their own infrastructure, Privacy-conscious organizations requiring self-hosted, auditable memory storage, Projects needing a customizable trait extraction schema from conversations.
Look elsewhere if you are Teams without Docker and PostgreSQL operational capacity, Projects that need multi-modal memory beyond text, Buyers who want a fully managed memory service today, Quick prototypes where setting up a database and proxy is overkill.
Skip it if Skip GetProfile if you want a managed memory service you never have to operate, or if your agent needs image, audio, or video memory rather than text.
GeneratedReal-world workflow fit
Concrete scenarios for the personas GetProfile actually fits — and what changes day-one when you adopt it.
Stand up GetProfile with Docker Compose, point the existing OpenAI client at the proxy base URL, and define a trait schema for the preferences the assistant should track.
Outcome: Existing chat code gains persistent user profiles and memory without a rewrite, with profiles stored in your own PostgreSQL.
Deploy the Hono proxy and PostgreSQL inside the company VPC, audit the Apache 2.0 source for how traits are extracted and injected, and tune the injection template.
Outcome: Conversation data never leaves the environment while agents still get structured user context on each request.
Define traits for account tier, known issues, and communication preferences, then let GetProfile inject relevant memories alongside each incoming support prompt.
Outcome: Support replies reflect a returning user's history and preferences instead of starting from scratch each session.
Use cases
- Build a personal assistant that remembers user preferences and past conversations
- Create a support bot that references previous tickets and known user traits
- Develop a learning companion that tracks progress and knowledge gaps
- Power a recommendation engine that adapts to user traits and history
- Give a role-playing agent persistent personality and memory
Setup time & first value
How long it actually takes to get something useful out of GetProfile — broken out by persona, not the marketing-page minute.
A developer comfortable with Docker and PostgreSQL can get the proxy and database running from the quickstart in well under an hour; the longer task is designing your trait schema and injection template, which varies with how much personalization your app needs. Non-technical teams should expect a much longer path given the infrastructure requirement.
Switching to or from GetProfile
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From raw chat history in your prompt: route calls through the GetProfile proxy and let it store summaries and traits in PostgreSQL instead of replaying transcripts.
- →From a hosted memory API: point your OpenAI-compatible client at the self-hosted GetProfile proxy and re-create your extracted fields as a trait schema.
- ↗To a managed memory platform: export stored profiles from PostgreSQL and map your trait schema onto the provider's memory model.
- ↗To your own in-house memory layer: the Apache 2.0 codebase and PostgreSQL schema give you a reference implementation to port from.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “GetProfile”, and we withheld 6: 6 could not be judged, because “GetProfile” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about GetProfile.
Official links
What are the best GetProfile alternatives?
The closest alternatives to GetProfile we list are Mem0, MemOS and CogniMemo. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Mem0 | Freemium | Pricing not published | — |
| MemOS | Freemium | Pricing not published | — |
| CogniMemo | Contact Sales | Custom pricing | — |
Alternatives to GetProfile
View all
Tools that pair well with GetProfile
Common stack mates teams adopt alongside GetProfile, with the specific reason each pairing earns its keep.
Mem0
Mem0 is a memory layer that gives AI agents and apps persistent context across sessions and users
MemOS
MemOS gives AI agents persistent long-term memory through a cloud API or a fully local runtime.
CogniMemo
CogniMemo is an API-first persistent memory layer that gives your AI agents structured long-term recall across sessions.
GetProfile vs its closest rival
GetProfile's closest head-to-head is with Spider Cloud.
Our GetProfile vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Used GetProfile? Help shape our editorial sentiment research.