Atlaso

Atlaso

Atlaso is an AI memory layer that provides one persistent, shared memory across multiple AI tools (Claude Code, Cursor, Codex, Claude Desktop, OpenCode, Antigravity, and more), automatically capturing and recalling context so your AIs start each session already oriented.

Atlaso is ai tools software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#560 in AI Agents (560 tools)
Added 1 month ago
Data reviewed Aug 4, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Free

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Atlaso

Atlaso provides a single persistent memory layer shared across multiple AI tools so context and decisions travel with you between apps. It captures decisions, watch-outs, and open questions automatically as you work (with secrets scrubbed before storage) and recalls the relevant, graded context before each interaction so tools do not start from zero. The product targets professional workflows across engineering, finance, healthcare, legal, research, sales and support, and is delivered as an installable product with free and paid plans.

One memory for every AI you use Discussion | Link

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Key Features

Shared persistent memory

One memory store per account that is read from and written to by multiple AI tools so context travels across apps (personal memory follows you; per-project memory stays isolated).

Automatic capture

Captures decisions, watch-outs, open questions, and other durable facts automatically as you work, scrubbing secrets before anything is stored.

Automatic recall

Recalls and injects relevant memories before each turn so the model sees context without manual pasting or setup.

Memory grading and contradiction handling

Each recall carries a verdict (settled, contested, or thin); contradictions are flagged and superseded facts retired to avoid acting on stale information.

Background enrichment

Overnight/background workers distill raw captures into structured, deduped, tagged memories to improve recall quality over time.

Privacy-first controls

Secrets are scrubbed before storage; data is encrypted in transit and at rest; memories can be deleted; the product claims no training on or selling of user memory.

Dashboard and export

A dashboard to see, search, and manage memories, view Memory Power score, and export memories as JSON (export available on paid plans).

Installable connectors

One-command install and connector flow for supported tools; no config or API keys required for typical setup.

Pricing

Free Tier Available

Free for one device and one tool (no credit card required).

Free

Free
  • One device and one tool
  • Memory captured locally and accessible via the connected tool

Pro

$10 / month
  • Unlimited devices and tools sharing one memory
  • Ambient Memory, background enrichment, Ask your memory, JSON export

Build

$25 / month
  • Includes Pro features
  • Adds developer memory API

Use Cases

Software & Engineering

Preserve codebase conventions, past decisions, and engineering context across multiple AI tools so models don't re-learn project specifics each session.

Finance

Keep models aware of past analysis, positions, and financial reasoning so subsequent sessions build on prior work rather than starting fresh.

Healthcare & Life Sciences

Help clinicians and researchers keep protocols, guidelines, and prior findings available to AI tools while maintaining privacy-first handling of sensitive data.

Legal

Maintain case facts, precedents, and client history in memory so AI-assisted workflows can reference the full matter context.

Research & Education

Retain sources, experiments, and coursework so each session continues previous work without repeated setup.

Sales & Support

Keep account history, deal context, and past conversations available so AI tools enter each interaction already informed.

Integrations

Claude Code

First-class connector; Atlaso shows examples of connecting Claude Code and syncing memory with it.

Cursor

Supported connector; page shows Cursor as a tool that reads/writes the shared memory.

Codex

Supported connector; listed among the tools that share memory.

Claude Desktop

Supported connector; listed among the tools that share memory.

OpenCode

Supported connector; listed among the tools that share memory.

Antigravity

Supported connector; listed among the tools that share memory.

MCP-compatible tools

Anything that speaks MCP can connect; page notes additional tools can be added.

ChatGPT (coming soon)

Listed on the page as a soon-to-be-supported integration.

Meta AI (coming soon)

Listed on the page as a soon-to-be-supported integration.

Benefits

Eliminates repeated re-explaining by sharing a single memory across multiple AI tools.
Reduces stale or conflicting information by flagging contradictions and retiring superseded facts.
Improves productivity with automatic recall and capture that runs in the background without manual configuration.
Offers privacy controls: secrets scrubbed before storage, encryption in transit and at rest, and the ability to delete memories.
Compounds value over time as background enrichment and confirmations increase Memory Power and recall quality.

Limitations

Limited initial tool support — page lists a set of supported tools and notes more are coming.
Free plan limited to one device and one tool; advanced features require Pro or Build paid plans.

Frequently Asked Questions

What is Atlaso?
Atlaso is an AI memory layer for the tools you already use. Connect it once and Atlaso recalls context before each turn and captures durable facts after, so your AI remembers decisions, preferences, and where you left off.
Which AI tools does Atlaso work with?
Atlaso works with Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity, with more on the way. Anything else that speaks MCP can connect.
How do I install Atlaso?
Install with a single command (for example: curl -fsSL https://atlaso.ai/install.sh | bash), then authorize the machine via the browser or paste the connector URL if no terminal is available.
How is Atlaso different from the memory built into ChatGPT or Cursor?
Built-in memory lives inside a single app and doesn't travel. Atlaso provides one memory across all your tools that you can see, search, and manage; each recall also carries a verdict (settled, contested, or thin).
Do I have to change how I work?
No. Once a tool is connected, Atlaso operates automatically in the background — recall before each turn and capture after — with no new commands to learn.
Is my data private with Atlaso?
Atlaso scrubs secrets before storage, encrypts data in transit and at rest, does not train AI models on your memory or sell it, and on the free plan your memory is never sent to any LLM. You can delete any memory or your whole account.
How much does Atlaso cost?
Atlaso is free for one device and one tool. Pro is $10/month (unlimited devices and tools plus extra features). Build is $25/month and adds a developer memory API.

Getting Started

  1. 1 Step 1: Pick the tool where your memory should live (e.g., Claude Code, Cursor, Codex, Claude Desktop, OpenCode, Antigravity).
  2. 2 Step 2: Run the install command (e.g., curl -fsSL https://atlaso.ai/install.sh | bash) and click authorize or paste the connector URL if no terminal is available.
  3. 3 Step 3: Start working — Atlaso captures as you work and recalls context before each turn automatically.

Support

docs

Product documentation available via the site's 'Docs' link.

contact

Contact the support team via the site's 'Contact' or 'Contact us' links for additional questions.

research

Research papers and benchmark details are available via the 'Research' link on the site.

API

Available: Yes
Documentation:

See the site's Docs page (refer to 'Docs' in the site navigation) for developer API details; Build plan adds a developer memory API.

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