CodingDocumented overviewLast checked Oct 2, 2026

EverMind (EverOS): Pricing, Features & Best Use Cases

Memory layer (EverOS) for AI agents that stores and retrieves long-term context across sessions and platforms.

Who EverMind (EverOS) fits

Choose EverOS from Evermind if you are building AI agents that need persistent, self-evolving memory across sessions and platforms, and contact the vendor because no pricing is published. Based on the vendor's documentation, not on a hands-on test.

Best for: Agent developers

Also a good fit for

  • Teams building assistants

Consider another tool if no pricing shown on loaded pages

Or if

  • Demo or contact route for enterprise
  • Requires developer integration

EverMind (EverOS) pricing and usage limits

Prices checked Oct 2, 2026 on the official US pricing page. Prices and limits change often.

Free access and trial conditions

Open-source option stated; terms not shown.

Not stated.

Paid plans: what changes as you upgrade

EverOS web

See official pricing source (opens in a new tab)

Unknown

For: Agent developers

Limits

  • Pricing not published

Includes

  • Cloud and self-hosted deployment
  • Open-source option stated

API included

Usage caps, credits and extra costs

Not stated.

Not stated.

What is EverMind (EverOS), and how does it work?

EverMind builds EverOS, a memory operating system for LLM agents. It extracts profile, episodic and skill memories from interactions and retrieves context for later queries, aiming to keep agents consistent over time. The EverOS page mentions cloud and self-hosted options, an open-source release and compatibility with MCP, Claude Code, Codex, and OpenAI and Anthropic SDKs.

What you provide and what you get back

How EverMind (EverOS) works: what you provide, where it runs and what you get backYOU PROVIDEYour inputConversations and agent trajector…Files such as PDFs, images, sprea…CODINGEverMind (EverOS)APIfree tier, paid price not publish…free tier availableaccount requiredchecked Oct 2, 2026YOU GET BACKThe resultStored profile, episodic and skil…Retrieved context for agentsinput → EverMind (EverOS) → output · from the vendor's own pages, no hands-on test unless stated
What you give EverMind (EverOS) and what comes back, from its documentation

You provide

  • Conversations and agent trajectories
  • Files such as PDFs, images, spreadsheets, emails, URLs

You get back

  • Stored profile, episodic and skill memories
  • Retrieved context for agents

Where you can use it

Platforms
API
Account
Required

What people use EverMind (EverOS) for

Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.

Long-term agent memory

Who
Agent developers
You provide
Conversation history
Expected result
Long-term memory across sessions
Plan needed
EverOS
Limitation
Pricing unknown source (opens in a new tab)

Cross-session personalization

Who
Product teams
You provide
User interactions
Expected result
Personalised responses over time
Plan needed
EverOS
Limitation
Quality is vendor-reported source (opens in a new tab)

Multi-agent shared context

Who
Multi-agent builders
You provide
Shared agent context
Expected result
Common team memory
Plan needed
EverOS
Limitation
Integration work needed source (opens in a new tab)

Key features and their practical limits

Memory extraction (profile, episodic, skill)

Extracts profile, episodic and skill memory Agents remember users and tasks

Access: EverOSLimit: Details not shown source (opens in a new tab)

Self-evolving skills

Learns reusable skills from past cases Agents improve over time

Access: EverOSLimit: Self-evolving claims are vendor-stated source (opens in a new tab)

Multimodal ingestion

Ingests many file types via one API Less preprocessing

Access: EverOSLimit: Format limits not stated source (opens in a new tab)

Cloud and self-hosted

Cloud or self-hosted Choice of control

Access: EverOSLimit: Self-hosting steps not shown source (opens in a new tab)

EverMind (EverOS): strengths and limits

Reasons to choose EverMind (EverOS)

Check before paying for EverMind (EverOS)

How to use EverMind (EverOS) for adding long-term memory to an AI agent

Set up EverMind (EverOS)

  1. Open evermind.ai and choose EverOS
  2. Request access or try it now via the site
  3. Add the API or SDK to your agent
  4. Send conversations to be remembered

Example: adding long-term memory to an AI agent

  1. Store a user preference from a chat
  2. Start a new session
  3. Retrieve memory for the user
  4. Use it in the agent prompt

Review and export the result

  1. Verify the retrieved memory is correct
  2. Check that outdated facts are updated

EverMind (EverOS) API

API access and separate billing

An API is available, billing not documented. Single API for ingestion and retrieval.

Explore EverMind (EverOS) further

Tools and guides near EverMind (EverOS)

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    EverMind (EverOS) FAQ

    What is EverOS?

    A memory layer for AI agents that stores and retrieves long-term context. source (opens in a new tab)

    How much does it cost?

    No pricing is published; /pricing returned 404. source (opens in a new tab)

    What can it ingest?

    PDFs, images, Word documents, spreadsheets, presentations, emails, HTML, text and URLs. source (opens in a new tab)

    Does it support self-hosting?

    The site states cloud and self-hosted deployment. source (opens in a new tab)

    Are the benchmarks verified?

    They are vendor-reported (LoCoMo 93.05%, LongMemEval 83.00%, HaluMem 93.04%), though the vendor says they are reproducible. source (opens in a new tab)

    Sources and review methodology

    Official sources and verification dates

    Not verified: Pricing; Docs; Privacy and retention terms; Licence of open-source parts; Supported SDKs.

    How we documented and maintain this page

    Every fact about EverMind (EverOS) above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run EverMind (EverOS) ourselves, so it has no editorial score. How we check and re-check pages.

    Article updated Oct 2, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error