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cli-and-cloud

cli-and-cloud

Routes Memori Cloud, CLI, quota/sign-up/setup, MCP, and agent API workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: cli-and-cloud description: "Routes Memori Cloud, CLI, quota/sign-up/setup, MCP, and agent API workflows." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

CLI and Cloud

Use this sub-skill for Memori Cloud setup, the python -m memori command, quota and sign-up flows, MCP wiring, and agent-memory API calls.

Use when

  • The request mentions Memori Cloud, MEMORI_API_KEY, python -m memori, quota, sign-up, setup, MCP, Claude Code, Hermes, OpenClaw, or agent recall.
  • The user is debugging cloud auth, quota, SSL, timeout, or payload-validation failures.
  • The task is about Cloud-facing Python or TypeScript quickstarts, not BYODB storage or LLM provider registration.

Read first

  • references/cli-reference.md for commands and flags.
  • references/cloud-agent-api.md for cloud agent methods and parameter rules.
  • references/mcp-and-agent-integrations.md for MCP and adjacent agent integrations.
  • references/troubleshooting.md for cloud/auth/network failures.
  • scripts/check_memori_cli.py for a safe CLI smoke.

What this sub-skill owns

  • Cloud mode vs BYODB mode selection when conn is omitted.
  • API key and base URL handling.
  • CLI command routing and .env loading from the current directory.
  • Cloud agent recall, recall-summary, compaction, capture-turn, and feedback.
  • MCP connection headers and agent integration setup notes.

What it does not own

  • Storage schema or driver setup: use byodb-storage.
  • llm.register(...) provider selection: use llm-integration.
  • Recall, embeddings, session lifecycle, or native Rust-core behavior: use memory-and-search.
  • TypeScript implementation details: use typescript-sdk.

Safe first check

Run the bundled CLI smoke before suggesting a live cloud call:

python scripts/check_memori_cli.py

That helper only exercises the installed python -m memori entry path from a fresh temporary working directory.

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