Pre-release

This release is a pre-release and may not be stable for production use.

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☁️ Managed long-term memory for AI agents — the official Cloud Python SDK

Python License

Which package? This is EverOS Cloud — the managed SaaS client (pip install everos-cloud).

Want to self-host? Use the open-source everos library instead.

EverOS Cloud — Python SDK

Give your AI agents memory that persists across sessions — managed, searchable, and typed. Add a conversation; EverOS turns it into structured, retrievable memory you can query in one call.

Why EverOS Cloud

Self-evolving memory — memory doesn't just pile up, it improves. Background consolidation merges related episodes and refines user profiles over time, so recall gets sharper the more your agent is used.
Structured memory, not chat logs — extracts episodes, user profiles, and reusable agent cases & skills from raw conversations, so retrieval returns meaning, not transcripts.
Retrieval that fits the query — keyword, vector, hybrid (default), or agentic multi-step search.
Multimodal — attach images, audio, and documents to any message.
Built for production — fully managed (no vector DB or extraction pipeline to run), with low-latency retrieval and high-concurrency throughput. The engineering guarantees you don't get from self-hosting.
Fully typed (pydantic v2) — every request/response is a typed model with full hints, so you get editor autocomplete and validation instead of raw dicts.

Install

pip install everos-cloud

Pre-releases need --pre: pip install --pre everos-cloud.

Upgrading from the 0.4.x client? 1.x is a rewrite with a new API surface — see the migration guide. Pin everos-cloud<1 to stay on the old client.

Quickstart

Get an API key from the EverOS Console, then:

from everos_cloud import EverOS

with EverOS(api_key="sk-...") as client:
    client.add(session_id="session-1", messages=[
        {"sender_id": "user-1", "role": "user", "content": "I love hiking in the mountains"},
    ])

    results = client.search("outdoor hobbies", user_id="user-1")
    print(results)

Full usage — every memory operation, profile editing, and multimodal upload — is in quickstart.md. Prefer typed control? The generated low-level client is exposed as client.memory / client.storage.

Documentation

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- Permalink: EverMind-AI/everos-cloud-sdk-python@b60c6839cb032994147174b696a2329b1a14b817
- Branch / Tag: refs/tags/v1.1.0-rc1
- Owner: https://github.com/EverMind-AI
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