Atlaso: A Shared Memory Layer for Every AI Tool

Research context and background

Today's AI tools often work in isolation. This means every time a user starts a new session, they have to explain their project, preferences, and past decisions from scratch. Context built in one tool stays there, and switching to another tool forces the user to start over. Some systems try to remember things, but they often keep too much old or irrelevant information. This makes it hard to find what actually matters.

Atlaso is an AI memory layer designed to fix these problems. It provides a single, persistent, shared memory that tools like Claude Code, Cursor, Codex, and others can read from and write to automatically. With Atlaso, users stop having to re-explain their work. Their context travels instantly between connected tools. Decisions, important notes, and open tasks are captured automatically as the user works. Sensitive data like passwords is removed before anything is saved.

Benefits

• Stop Re-explaining:Users tell their AI once in one tool, and that context becomes available in every connected tool immediately.
• Seamless Continuity:Work becomes memory automatically. Decisions and open threads are captured as the user works without extra effort.
• Automatic Recall:Before every new session, Atlaso recalls what matters, such as past decisions and open questions. This helps the AI pick up exactly where the user left off.
• Confidence and Verdicts:Atlaso knows what it knows. Every piece of recalled information has a status. Information can be marked as settled, contested, or thin. If plans change, the system flags contradictions and retires outdated decisions to prevent errors.
• Privacy and Security:Atlaso is private by design. Sensitive information is scrubbed before storage. Data is encrypted in transit and at rest. The system never trains AI models on user memory or sells it. Users can delete any memory or their entire account at any time.
• Ambient Memory:For Pro users, this feature starts every session oriented. It highlights where the user was heading, what is new, and what remains unsettled before they type a word.

Use Cases

While originally built for coding, Atlaso supports various industries:

• Software & Engineering:Remembers codebases, decisions, and conventions.
• Finance:Retains models, positions, and past analysis.
• Healthcare & Life Sciences:Keeps protocols and guidelines intact with privacy-first storage.
• Legal:Maintains case facts, precedents, and client history.
• Research & Education:Builds up sources, experiments, and coursework over time.
• Sales & Support:Remembers account details and past conversations.

Pricing

• Free Plan:Available for one device and one tool. No credit card is required.
• Pro Plan ($10/month):Unlocks unlimited devices and tools sharing one memory. It also includes Ambient Memory, background enrichment, "Ask your memory," and JSON export.
• Build Plan ($25/month):Adds a developer memory API.

Vibes

Atlaso is currently available for Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity. Support for ChatGPT and Meta AI is coming soon. Any tool that speaks MCP can also connect. The product is designed to operate in the background with zero setup or API key management required. Installation is simple: users run an install command in their terminal, authorize the device via the browser, and Atlaso begins capturing and recalling context automatically. No configuration files or complex setups are needed.

Additional Information

Atlaso operates in the background with zero setup or API key management required. A background worker distills raw captures into clean, structured memories overnight. These memories are tagged, graded, and deduplicated to ensure recall gets sharper over time. The system uses keyword and semantic matching to search the memory when a tool is opened. Relevant memories are ranked and injected into the context before the model sees the user's prompt.