kartik-mem0
b2412bd4db
nin is OSS-only (mem0/vector_stores/pgvector.py), absent from docs/openapi.json and docs/platform/features/v2-memory-filters.mdx. Nested AND/OR/NOT is also not identical: OSS implicitly ANDs flat top-level filter keys, while Platform requires the explicit wrapper once more than one condition is combined. Moves both into the Configuration & data operations comparison table instead of the shared "What's the same" list.
133 lines
7.6 KiB
Plaintext
133 lines
7.6 KiB
Plaintext
---
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title: "Platform vs Open Source"
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description: "Compare Mem0 Platform and Open Source to choose the right solution for managed hosting or self-hosted deployment."
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icon: "code-compare"
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---
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## Which Mem0 is right for you?
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Mem0 offers two ways to add memory to your AI applications. Both run the same core extraction and retrieval logic; the Platform adds hosting, a small set of v3-only capabilities, and management surfaces that OSS does not have.
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<CardGroup cols={2}>
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<Card
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title="Mem0 Platform"
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icon="cloud"
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href="/platform/quickstart"
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>
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**Managed, hassle-free**
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Get started in 5 minutes with our hosted solution. No vector store, LLM, or embedder to configure.
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</Card>
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<Card
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title="Open Source"
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icon="code-branch"
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href="/open-source/python-quickstart"
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>
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**Self-hosted, full control**
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Deploy on your infrastructure. Choose your vector DB, LLM, and configure everything.
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</Card>
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</CardGroup>
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---
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## What's the same
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The core memory loop is identical on both: `add`, `search`, `get`, `get_all`, `update`, `delete`, `delete_all`, and per-memory `history` all exist on the self-hosted `Memory`/`AsyncMemory` classes and on the hosted `MemoryClient`/`AsyncMemoryClient`. Both support:
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- **Entity scoping** by `user_id`, `agent_id`, and `run_id`
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- **Metadata filtering**: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `contains`, `icontains`, and wildcards match on both, and both understand `AND`/`OR`/`NOT` grouping. The grammar around that grouping differs (see below)
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- **Entity-aware ranking**: both extract entities from memory text and use shared entities to boost related results at search time
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- **Multimodal input**, **memory expiration** (`expiration_date`), **reranking**, **procedural memory** (Python), and **custom extraction instructions** (`custom_instructions`)
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- Python and JavaScript SDKs, plus a REST API (self-hosted via `server/`, or hosted)
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## What's actually different
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<AccordionGroup>
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<Accordion title="Hosting & infrastructure" icon="server">
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| Feature | Platform | Open Source |
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|---------|----------|-------------|
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| **Vector store, LLM, embedder** | Run and tuned by Mem0 | You provision, configure, and pay for each |
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| **Scaling & availability** | Managed | Your responsibility |
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| **Web dashboard** | `app.mem0.ai` | Not included |
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| **Time to first memory** | Minutes (API key only) | Depends on your vector DB / LLM setup |
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</Accordion>
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<Accordion title="Entity scoping & workspace structure" icon="layer-group">
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| Feature | Platform | Open Source |
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|---------|----------|-------------|
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| **Scoping identifiers** | `user_id`, `agent_id`, `run_id`, plus `app_id` for app/tenant separation | `user_id`, `agent_id`, `run_id` only, no `app_id` |
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| **Organizations & projects** | Multi-org, multi-project, with member roles ([API reference](/api-reference/organization/get-org)) | No org/project concept; a single local config |
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| **Project-wide event feed** | `GET /v1/events/` lists recent add/search/delete events per org and project, usable for dashboards, alerting, or audit trails | Only per-memory `history(memory_id)`, no project-wide event log |
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See [Entity-Scoped Memory](/platform/features/entity-scoped-memory) for the full `app_id` model.
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</Accordion>
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<Accordion title="Search-time ranking (v3-only)" icon="sparkles">
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| Feature | Platform | Open Source |
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|---------|----------|-------------|
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| **Graph Memory** | Native, always-on graph over extracted entities; connections feed directly into the ranking `score` ([details](/platform/features/graph-memory)) | Removed. OSS previously connected external graph stores (Neo4j, Memgraph, Kuzu, Apache AGE); that integration was dropped when the v3 pipeline landed. OSS still extracts entities and uses them to boost ranking, but there is no queryable graph and no `relations` field |
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| **Memory Decay** | Opt-in per project; reinforces recently-used memories and gently dampens stale ones at search time ([details](/platform/features/memory-decay)) | Not supported. Passing `decay` raises `"The decay parameter is not supported by the OSS Memory SDK."` |
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| **Temporal Reasoning** | Boosts memories whose event dates match the time expressed in a query (`timestamp` / `reference_date`) ([details](/platform/features/temporal-reasoning)) | Not supported. Both parameters raise a "not supported by the OSS Memory SDK" error |
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| **Dream (background consolidation)** | Continuously synthesizes patterns, supersedes outdated facts, and merges duplicates per user ([details](/platform/features/dream)) | Not available |
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</Accordion>
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<Accordion title="Configuration & data operations" icon="sliders">
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| Feature | Platform | Open Source |
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|---------|----------|-------------|
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| **Custom categories** | Set per project or per `add` call ([details](/platform/features/custom-categories)) | Not supported. `Memory.add()` has no `custom_categories` parameter, and OSS project updates are rejected outright |
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| **Webhooks** | Project-scoped HTTP callbacks on memory and ingest events ([details](/platform/features/webhooks)) | Not available |
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| **Memory Export** | Schema-driven structured export jobs over filtered memories ([details](/platform/features/memory-export)) | Not available |
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| **Filter grouping grammar** | A bare single-condition filter works on its own, but combining more than one condition requires an explicit `AND`/`OR`/`NOT` wrapper ([details](/platform/features/v2-memory-filters)) | Top-level filter keys are implicitly ANDed, so a flat multi-key filter like `{"user_id": "alice", "category": "work"}` works without a wrapper |
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| **`nin` (not-in) operator** | Not supported | Supported, alongside `in` |
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</Accordion>
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<Accordion title="Support" icon="life-ring">
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| Channel | Platform | Open Source |
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|---------|----------|-------------|
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| **Community & maintainers** | Discord, GitHub Discussions, direct calls with the founders | Same: Discord, GitHub Discussions, direct calls with the founders |
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Support channels are currently the same for both. If you need something contractual (a support SLA, for example), ask before assuming it exists: it is not documented as a Platform benefit today.
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</Accordion>
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</AccordionGroup>
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User Profiles are not listed above. The feature is still being finalized internally, so this page does not present it as an available Platform benefit.
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---
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## Decision Guide
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**Choose Platform if you want:**
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- Zero infrastructure: no vector store, LLM, or embedder to provision or tune.
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- The v3-only ranking features: Graph Memory, Memory Decay, Temporal Reasoning, and Dream.
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- App-level and org/project-level scoping, plus webhooks, memory export, and custom categories.
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**Choose Open Source if you need:**
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- Full data control: host everything on your own infrastructure.
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- Custom configuration: your own vector DB, LLM provider, and embedder ([25 vector stores](/components/vectordbs/overview), [18 LLM providers](/components/llms/overview), [11 embedders](/components/embedders/overview) at the time of writing).
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- Extensibility: modify the codebase, add custom providers, and contribute back.
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- Cost optimization: local LLMs (Ollama), self-hosted vector DBs, no usage-based billing.
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---
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## Still not sure?
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<CardGroup cols={2}>
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<Card
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title="Try Platform Free"
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icon="rocket"
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href="https://app.mem0.ai/login?utm_source=oss&utm_medium=platform-vs-oss"
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>
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Sign up and test the Platform with our free tier. No credit card required.
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</Card>
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<Card
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title="Explore Open Source"
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icon="github"
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href="https://github.com/mem0ai/mem0"
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>
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Clone the repo and run locally to see how it works. Star us while you're there!
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</Card>
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</CardGroup>
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