Gives your AI agent long-term memory that it can search across past sessions, so it recalls earlier context and preferences instead of starting from scratch. Works with DeepSeek Harness and includes a local viewer for browsing what it has stored.
@memtensorSkills for Claude Code that find the most relevant agent skills for the current task, from a local skill library or external sources, and record which skills were actually used and useful.
@memtensorAsk users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user…
@memtensorBrowser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web…
@memtensorEnforces explicit user permission before any file deletion. Activates when you're about to use rm, unlink, fs.rm, or any…
@memtensorFind the most relevant external agent skills for the current task, then submit grounded feedback about which skills were actually…
@memtensorUse when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill…
@memtensorMemOS backend / library implementation sub-agent. Writes code under src/memos/ within the task boundary, strictly TDD, then…
@memtensorCode-review sub-agent. Reviews MemOS diffs for contract consistency, Ruff / typing / optional-dependency handling, and test…
@memtensorDesign-review sub-agent. Reviews design docs across the four dimensions of architecture, interface, performance, and security,…
@memtensorRead-only code exploration sub-agent. Locates MemOS code, traces call chains, and gathers evidence — returns a compressed…
@memtensorMemOS integration-testing sub-agent. Authors and executes pytest cases under tests/ based on the task's requirements and design,…
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