计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
memori【效率与协作】Routes Memori Python and TypeScript memory SDK workflows across cloud, BYODB, LLM registration, recall/search, CLI, and integrations.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Memori is a persistent-memory SDK for Python and TypeScript. Use this repo skill when the request is about Memori Cloud, BYODB, LLM registration, recall/search, embeddings, CLI operations, MCP integration, or the Node/TypeScript SDK.
references/package-overview.md for the package map and install
variants.references/configuration.md for environment variables and runtime
defaults.references/troubleshooting.md when an install, import, backend, or
workflow fails.scripts/check_memori_install.py for a safe package/import/config smoke.| If the user asks for... | Go to | What it owns |
|---|---|---|
Memori Cloud, python -m memori, quota, sign-up, MCP, or agent recall/summary/compaction | sub-skills/cli-and-cloud/SKILL.md | CLI, cloud API, MCP, and adjacent agent integrations |
| SQLite/Postgres/MySQL/TiDB/MongoDB/Oracle/CockroachDB/OceanBase BYODB setup or provisioning | sub-skills/byodb-storage/SKILL.md | Storage adapters, schema build, database recipes, and provisioning |
llm.register(...), OpenAI/Anthropic/Gemini/xAI, Agno, LangChain, or provider troubleshooting | sub-skills/llm-integration/SKILL.md | Python LLM client registration and wrapper guidance |
| attribution, sessions, recall, search, embeddings, TEI, native Rust core, or memory deletion | sub-skills/memory-and-search/SKILL.md | Memory lifecycle, retrieval, embeddings, and native runtime caveats |
@memorilabs/memori, MemoriRequestScope, Node storage, or TypeScript CLI/native questions | sub-skills/typescript-sdk/SKILL.md | TypeScript SDK, request scopes, storage, and native binding notes |
memorimemori@memorilabs/memoriscripts/check_memori_install.py first.pip install memori
python -m memori
python scripts/check_memori_install.py