Now in open beta · v2.4

The memory layer for every model.

AETHER gives your AI perfect recall over everything your team knows — messages, docs, decisions and code — retrieved by meaning in under 50 milliseconds.

No card required · 10,000 free memories · SOC 2 Type II

Powering memory for teams at

NEBULA Cortex Labs Halcyon Vantage Northwind Parallax Sift

// Capabilities

One memory layer,
every hard part solved.

Retrieval, ranking, sync and security — the infrastructure you'd otherwise spend two quarters building, exposed behind a single API call.

ranked by meaning
Pricing was locked at $29 / seat
Annual plans get two months free
Enterprise stays custom-quoted

Semantic recall

Ask in plain language. AETHER returns the exact passage, message or decision — ranked by meaning, not keywords — with citations your model can trust.

Living knowledge graph

Every note, thread and commit is linked into a graph your agents can traverse.

<50ms

p99 retrieval

Millisecond retrieval

A purpose-built vector index keeps recall under a blink, even across billions of tokens.

AETHER
GPT Claude Llama Local

Model-agnostic

Bring your own model. One memory layer serves them all, hosted or on-device.

Zero-knowledge by default

Encrypted in transit and at rest, scoped per tenant. Your memory is yours alone.

SlackNotionGitHubDrive

Always in sync

Connect a source once. New content is embedded and searchable the moment it changes.

// How it works

From raw knowledge
to grounded answers.

01 · Connect

Slack Notion GitHub Drive

02 · Recall

“auth migration owner?”

03 · Compose

migration.md#platform
  1. 01

    Connect your sources

    Point AETHER at Slack, Notion, GitHub, Drive or any REST endpoint. We chunk, embed and index everything — and keep it fresh with incremental sync.

  2. 02

    Recall by meaning

    Send a natural-language query. AETHER ranks candidates across every source by semantic relevance and returns the passages that actually answer it.

  3. 03

    Compose grounded replies

    Feed the retrieved context straight into your model. Answers arrive cited, current and impossible to hallucinate around.

40B+ memories indexed
<50ms p99 retrieval
99.99% measured uptime
12,000+ teams building

// Ship it this week

Give your models
a memory.

Start free, wire up your first source in minutes, and scale to billions of tokens without touching a vector database.

Or read how AETHER was built →