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How Mem0’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score47/100

Agent-ready 77.2 × 0.30 = 23.16

API quality 32.6 × 0.20 = 6.52

Openness 46.8 × 0.20 = 9.36

Built-in AI 30.0 × 0.15 = 4.50

Automation 21.6 × 0.15 = 3.24

(23.16 + 6.52 + 9.36 + 4.50 + 3.24) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 46.78 ÷ 1.00 = 46.8

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready77.2/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.mem0.ai/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.mem0.ai/llms.txt # Mem0 > Mem0 is a memory layer for LLM agents - persistent, self-improving context that survives across sessions. Two”
  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”
  • [probe] https://docs.mem0.ai/platform/mem0-mcp“official MCP server documented at https://docs.mem0.ai/platform/mem0-mcp”
  • [probe] https://docs.mem0.ai/platform/cli“official CLI documented at https://docs.mem0.ai/platform/cli”

Run the product headlessly / in CI for automationweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“a coding agent creates its own account from the terminal and starts storing memories immediately”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“a coding agent creates its own account from the terminal and starts storing memories immediately.”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed.”
  • [claimed-docs] https://docs.mem0.ai“Four terminal commands create an account and API key. No email, no dashboard.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“lets you add, search, list, update, and delete memories directly from the terminal”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Self-host Mem0 with full control over your infrastructure and data”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“A Docker stack with a dashboard, per-user API keys, and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“As a self-hosted server. A Docker stack with a dashboard, per-user API keys, and a request audit log.”
  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”

Plug MCP servers into this product so it can use their toolsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“The Mem0 MCP server hands your agent a set of memory tools, so it can decide for itself when to save something, look something up, or update what it already knows.”
  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“Connect any AI client to Mem0 using Model Context Protocol in minutes”
  • [probe] https://docs.mem0.ai/platform/mem0-mcp“official MCP server documented at https://docs.mem0.ai/platform/mem0-mcp”

Connect an agent via an official MCP serverweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“The Mem0 MCP server hands your agent a set of memory tools, so it can decide for itself when to save something, look something up, or update what it already knows.”
  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“Connect any AI client to Mem0 using Model Context Protocol in minutes”
  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“Point your clients at the hosted server with a single command”
  • [probe] https://docs.mem0.ai/platform/mem0-mcp“official MCP server documented at https://docs.mem0.ai/platform/mem0-mcp”

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“lets you add, search, list, update, and delete memories directly from the terminal”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal. It works with the Mem0 Platfor”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“Manage memories from your terminal, for both humans and AI agents.”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed.”
  • [probe] https://docs.mem0.ai/platform/cli“official CLI documented at https://docs.mem0.ai/platform/cli”

Drive the product through a documented public APIweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“In about five minutes you will get an API key, store your first memory, and search it back.”
  • [claimed-docs] https://docs.mem0.ai“get an API key, then save and search a memory in Python or JavaScript”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“client.add(messages, user_id="user123")”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“a coding agent creates its own account from the terminal and starts storing memories immediately.”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed.”
  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”
  • [probe] https://docs.mem0.ai/platform/mem0-mcp“official MCP server documented at https://docs.mem0.ai/platform/mem0-mcp”
  • [probe] https://docs.mem0.ai/platform/cli“official CLI documented at https://docs.mem0.ai/platform/cli”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“a coding agent creates its own account from the terminal and starts storing memories immediately”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“a coding agent creates its own account from the terminal and starts storing memories immediately.”
  • [claimed-docs] https://docs.mem0.ai/platform/agent-signup.md“Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed.”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“The self-hosted bundle ships the REST API and a web dashboard together... per-user API keys and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“A Docker stack with a dashboard, per-user API keys, and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/entity-scoped-memory.md“Mem0's Platform API lets you separate memories for different users, agents, and apps.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/entity-scoped-memory.md“Scope conversations by user, agent, app, and session so memories land exactly where they belong.”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“Stand up the Mem0 REST server and dashboard in a few minutes, with an admin account, API keys, and a live audit log included.”

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“In about five minutes you will get an API key, store your first memory, and search it back.”
  • [claimed-docs] https://docs.mem0.ai“Setup guides for 22 tools, including LangChain, CrewAI, LlamaIndex, and the Vercel AI SDK.”
  • [claimed-docs] https://docs.mem0.ai“get an API key, then save and search a memory in Python or JavaScript”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“client.add(messages, user_id="user123")”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes.”
  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”

Subscribe to events via webhooksweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Webhooks enable real-time notifications for memory events in your Mem0 project.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“You can configure webhooks to send HTTP POST requests to your specified URLs whenever memories are created, updated, deleted, or categorized.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Configure and manage webhooks to receive real-time notifications about memory events”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Webhooks enable real-time notifications for memory events in your Mem0 projec”

Agent-ready = 139.0 ÷ 180 × 100 = 77.2

API quality32.6/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”
  • [claimed-docs] https://docs.mem0.ai“get an API key, then save and search a memory in Python or JavaScript”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“client.add(messages, user_id="user123")”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes.”

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”
  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“In about five minutes you will get an API key, store your first memory, and search it back.”
  • [claimed-docs] https://docs.mem0.ai“get an API key, then save and search a memory in Python or JavaScript”

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

API quality = 22.8 ÷ 70 × 100 = 32.6

Openness46.8/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“lets you add, search, list, update, and delete memories directly from the terminal”
  • [probe] https://docs.mem0.ai/openapi.json“PROBE openapi: HTTP 200 at https://docs.mem0.ai/openapi.json — contains "openapi" key”
  • [probe] https://docs.mem0.ai/platform/mem0-mcp“official MCP server documented at https://docs.mem0.ai/platform/mem0-mcp”
  • [probe] https://docs.mem0.ai/platform/cli“official CLI documented at https://docs.mem0.ai/platform/cli”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“The self-hosted bundle ships the REST API and a web dashboard together... per-user API keys and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“Stand up the Mem0 REST server and dashboard in a few minutes, with an admin account, API keys, and a live audit log included.”

Export all of my data in open formats and leaveweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.mem0.ai/platform/features/memory-export.md“The Memory Export feature allows you to create structured exports of memories using customizable Pydantic schemas.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/memory-export.md“create structured exports of memories using customizable Pydantic schemas”
  • [claimed-docs] https://docs.mem0.ai/platform/features/memory-export.md“Export memories in a structured format using customizable Pydantic schemas”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“Manage memories from your terminal, for both humans and AI agents.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack, the data, and every component”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Self-host Mem0 with full control over your infrastructure and data”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack”

Read the product's source under an open licenseweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack, the data, and every component”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Self-host Mem0 with full control over your infrastructure and data”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack”

Self-host the core productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack, the data, and every component”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“The self-hosted bundle ships the REST API and a web dashboard together... per-user API keys and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Self-host Mem0 with full control over your infrastructure and data”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“A Docker stack with a dashboard, per-user API keys, and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“Stand up the Mem0 REST server and dashboard in a few minutes, with an admin account, API keys, and a live audit log included.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“As a self-hosted server. A Docker stack with a dashboard, per-user API keys, and a request audit log.”
  • [claimed-docs] https://docs.mem0.ai/open-source/overview.md“Mem0 Open Source is the same memory engine as the Platform, running on your own infrastructure. You own the stack”
  • [claimed-docs] https://docs.mem0.ai/open-source/setup.md“Stand up the Mem0 REST server and dashboard in a few minutes, with an admin account, API keys, and a live audit log”

Openness = 46.8 ÷ 100 × 100 = 46.8

Built-in AI30.0/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/quickstart.md“Mem0 pulls the individual facts out of the conversation and stores each one separately”
  • [claimed-docs] https://docs.mem0.ai/platform/features/graph-memory.md“Mem0 Platform builds a native graph linking people, places, and concepts across your memories, with no external graph database to provision.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/graph-memory.md“Mem0 Platform builds a native graph linking people, places, and concepts across your memories”
  • [claimed-docs] https://docs.mem0.ai/platform/features/advanced-retrieval.md“Reorders results using deep semantic understanding to put the most relevant memories first.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/graph-memory.md“You ask entity-centric questions like "what do we know about Alice?" and expect facts pulled from many different conversations”

Set up automations that run autonomously in the backgroundweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Delegate tasks to a built-in AI assistant inside the productweight 3

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.mem0.ai/core-concepts/memory-operations/search.md“Mem0's search operation lets agents ask natural-language questions and get back the memories that matter most.”
  • [claimed-docs] https://docs.mem0.ai/core-concepts/memory-operations/search.md“Mem0's search operation lets agents”
  • [claimed-docs] https://docs.mem0.ai/platform/mem0-mcp.md“The Mem0 MCP server hands your agent a set of memory tools, so it can decide for itself when to save something, look something up, or update what it already knows.”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“lets you add, search, list, update, and delete memories directly from the terminal”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“Manage memories from your terminal, for both humans and AI agents.”

Built-in AI = 12.0 ÷ 40 × 100 = 30.0

Automation21.6/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [claimed-docs] https://docs.mem0.ai/platform/features/memory-export.md“The Memory Export feature allows you to create structured exports of memories using customizable Pydantic schemas.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/memory-export.md“create structured exports of memories using customizable Pydantic schemas”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“lets you add, search, list, update, and delete memories directly from the terminal”
  • [claimed-docs] https://docs.mem0.ai/platform/cli.md“The mem0 CLI lets you add, search, list, update, and delete memories directly from the terminal.”

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Webhooks enable real-time notifications for memory events in your Mem0 project.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“You can configure webhooks to send HTTP POST requests to your specified URLs whenever memories are created, updated, deleted, or categorized.”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Configure and manage webhooks to receive real-time notifications about memory events”
  • [claimed-docs] https://docs.mem0.ai/platform/features/webhooks.md“Webhooks enable real-time notifications for memory events in your Mem0 projec”

Schedule recurring jobs or workflowsweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Automation = 10.8 ÷ 50 × 100 = 21.6