Atlaso
Cross-tool memory layer that lets Claude Code, Cursor, Codex, and other assistants share and recall the same context automatically.
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Product Overview
What is Atlaso?
Atlaso is a memory layer that sits between developers and the AI tools they already use — Claude Code, Cursor, Codex, Claude Desktop, OpenCode, Antigravity, and anything else that speaks MCP. Instead of re-explaining a project's decisions, preferences, and conventions every time you switch tools or open a new session, Atlaso captures those details automatically as you work and recalls the relevant ones right before your next prompt reaches the model. Memory is split into a personal layer that follows the user everywhere and a project layer that stays isolated per repository, and every stored fact is graded as settled, contested, or superseded so outdated decisions don't quietly resurface as if they were still true.
Key Features
Cross-Tool Memory Sync
One shared memory store that Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read from and write to, so context set in one tool is instantly available in the next.
Automatic Capture and Recall
Decisions, preferences, and watch-outs are captured passively during sessions and injected into the next prompt before the model sees it, with no manual saving or recall commands required.
Personal and Project Scoping
Personal memory travels with the user across every tool, while project-level memory stays locked to its own repository, preventing context from bleeding between unrelated codebases.
Contradiction and Confidence Tracking
Each memory is tagged helpful, caution, warning, or open question and graded thin, settled, or contested, so conflicting facts are flagged and the outdated version is retired rather than silently reused.
Ambient Memory and Nightly Enrichment
A background process distills raw session captures into structured, deduplicated notes overnight and surfaces a session-start orientation of what's pending, new, or unresolved on Pro plans.
Secret Scrubbing and Data Control
API keys, passwords, and tokens are stripped before anything is stored, memories are never used to train models or sold, and users can export everything as JSON or delete any memory on demand.
Use Cases
- Software Development Continuity : Coding agents retain a project's architecture, conventions, and past decisions across every connected IDE or CLI tool, avoiding relearning the codebase from scratch each session.
- Financial and Analytical Modeling : Analysts keep prior models, positions, and analysis inside the same AI workspace so future sessions reason from real historical numbers instead of a fresh guess.
- Healthcare and Research Workflows : Clinicians and researchers preserve protocols, guidelines, and prior findings privacy-first, with sensitive details scrubbed before storage.
- Legal Case Management : Case facts, precedents, and client history persist in memory so an AI assistant can advise on the next step with the full matter already in view.
- Sales and Account Continuity : Account details, deal history, and past conversations are remembered so an AI assistant enters every customer interaction already informed.
FAQs
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