Mem0 Oss To Platform

Migrate mem0 OSS → mem0 Platform (hosted)

This skill migrates a project's memory layer from the self-hosted mem0 OSS SDK to the hosted mem0 Platform SDK, working for any project shape — an agent, a RAG pipeline, an API service, a chatbot, a background worker. You discover where mem0 is actually used, write a plan the developer reviews, and then execute it on approval.

The mental model (read this first — it's why the migration is shaped the way it is)

OSS mem0 means the developer runs the whole memory stack themselves: a vector store (Qdrant/pgvector/Chroma/…), an embedder, an LLM for fact extraction, and a local history DB. All of that is wired up in a config object passed to Memory.

The Platform means mem0 runs that stack for them. The developer just holds an API key. So the migration is mostly subtraction: the local infrastructure config collapses into a single MemoryClient(api_key=...). The method calls stay recognizable (add/search/get_all/…), but a few parameter conventions tighten up and the return values are server responses.

So the core of every migration is:

1. Memory / Memory.from_config({...}) → MemoryClient() (reads the API key from the env).
2. Delete the local vector_store / llm / embedder / reranker / history_db_path config (and any leftover graph_store).
3. Fix up each call site to the hosted call convention (entity IDs into filters, pagination, etc.).
4. Flag everything that isn't a clean 1:1 so the developer can decide (see references/gotchas.md).

Scope discipline: touch only mem0-related code, config, dependencies, and env. Preserve the project's existing behavior, structure, and style. Do not rename things, "tidy" nearby code, or change the app's logic. The developer asked to swap a backend, not to refactor their project.

Workflow

Work through these phases in order. Phases 1–4 produce the plan; phase 5 runs only after approval.

Phase 0 — Prerequisite check

The hosted SDK needs a mem0 API key (MEM0_API_KEY, obtainable at https://app.mem0.ai). Confirm the developer has one. You don't need the key value to write the plan, but flag in the plan that it must be set (in .env / secrets manager, never hardcoded) before execution and verification.

Phase 1 — Discover the mem0 footprint

Do not assume the layout. Find every place mem0 appears. Detect the language and the installed version first, then sweep for usage. Concretely, search for:

• Imports / instantiation: from mem0 import Memory, AsyncMemory, Memory.from_config, Memory(, import ... from "mem0ai", from "mem0ai/oss", new Memory(.
• Config blocks: keys like vector_store/vectorStore, embedder, llm, reranker, graph_store/graphStore, history_db_path/historyDbPath, historyStore, custom_instructions/customInstructions, custom_fact_extraction_prompt/customPrompt, custom_update_memory_prompt, enable_graph.
• Every call site: .add(, .search(, .get_all(/.getAll(, .delete_all(/.deleteAll(, .get(, .update(, .delete(, .reset(, .history(.
• Dependencies & env: requirements.txt/pyproject.toml/package.json for mem0ai and any local-infra deps that exist only for mem0 (e.g. qdrant-client, chromadb); .env/config for things like OPENAI_API_KEY used by the local embedder/LLM; any docker-compose service (e.g. a Qdrant container) that exists only to back mem0.

Use Grep/Glob broadly; a single missed call site is a runtime break later. Record file:line for each finding — the plan's inventory is built from this.

Phase 2 — Verify the API against the installed SDK (don't guess)

Versions drift, and the OSS and hosted classes have subtly different signatures. Before mapping, confirm the real signatures of the installed package rather than trusting memory:

• Python: python -c "import inspect; from mem0 import MemoryClient; print(inspect.signature(MemoryClient.search))" for each method you'll touch, and read the installed source under site-packages/mem0/client/main.py if anything is ambiguous (e.g. whether a method rejects top-level entity params). Also check the OSS side the project currently uses.
• TypeScript: read the installed types/dist under node_modules/mem0ai/ to confirm option names (limit vs topK, userId vs a nested filters: { user_id }) and the default vs mem0ai/oss export.

This verification step is the single most important habit — it's what keeps the plan correct across mem0 versions. Then consult references/api-mapping.md for the OSS→hosted translation of each method (Python and TypeScript). The docs guide is https://docs.mem0.ai/migration/oss-to-platform (verify its code samples against the installed SDK); OSS upgrade changes are at https://docs.mem0.ai/migration/oss-v2-to-v3.