Mem

Mem is an AI-native note-taking and knowledge workspace that captures notes, meetings, and ideas and keeps them instantly searchable and discoverable. It pairs a Workspace (notes, collections, projects, calendar, meeting transcription) with an Agent that tracks priorities and surfaces timely reminders. Mem exposes a REST API (the Mem Public Client API at https://api.mem.ai) for creating, reading, searching, and organizing notes and collections, plus semantic search, attachments, audio recordings, calendar, sessions, and tasks. It also ships an official hosted Model Context Protocol (MCP) server so AI tools like Claude, ChatGPT, and CLI agents can work with a user's Mem knowledge natively over OAuth. Mem is backed by a16z.

Mem publishes 2 API contracts indexed on the APIs.io network: CoreApi__service-info API and External API. Tagged areas include Company, Notes, Knowledge Management, Productivity, and Artificial Intelligence.

The Mem catalog on APIs.io includes 1 Spectral governance ruleset.

Mem’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, signup flow, and 26 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

44.2/100 developing ▬ flat Agent 60/100 agent native Front door AI 3/6 light saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 MCP Servers 3 Agent Skills

Company Notes Knowledge Management Productivity Artificial Intelligence Note Taking Search MCP Agents Meetings

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 44.2/100 · developing

Contract Quality 8.3 / 19

Developer Ergonomics 8.8 / 15

Access Clarity 1.2 / 15

Operational Transparency 4.9 / 10

Contract Governance 1.6 / 9

Discoverability 5.6 / 8

Regulatory Posture 4.4 / 15

Create-or-Update Ergonomics 2.2 / 10

Agent readiness — 60/100 · agent native

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's
Dry-Run / Simulate Mode +4 pts — OpenAPI: destructive operations expose a dry_run / simulate / preview / validate_only parameter
Well-Known Catalog +4 pts — common[].type includes WellKnown, APICatalog, or api-catalog
Distinct Operations +3 pts — share of operations whose summary is unique within its document after light normalisation; na without two summarised operations

1 more unmet check in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 7.9 — up to +18.4 composite points
Contract Quality scores 44.1 — up to +14.0 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/mem/apis.yml: open an issue on github.com/api-evangelist/mem to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 5

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Mem CoreApi__service-info API

The CoreApi__service-info API from Mem — 1 operation(s) for coreapi__service-info.

Mem External API

The external API from Mem — 53 operation(s) for external.

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Mem Public Client CoreApi__service-info API

OPEN COLLECTION

Mem Public Client CoreApi__service-info external API

OPEN COLLECTION

Mem Public Client CoreApi__service-info external-v0 API

OPEN COLLECTION

Mem Public Client CoreApi__service-info external-v1 API

OPEN COLLECTION

Mem Public Client CoreApi__service-info external-v2 API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Mem MCP

Mem ships an official hosted, remote MCP server that gives AI tools secure OAuth-authenticated access to a user's Mem notes and collections. The docs state it exposes 23 tools f...

MCP SERVER

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Capture a note and file it into a collection

AGENT SKILL

Capture anything with Mem It (asynchronous intelligent save)

AGENT SKILL

Search and retrieve notes with semantic + attachment context

AGENT SKILL

Rate Limits 1

Documented rate limits and quota policies.

Mem Rate Limits

4 limits

RATE LIMITS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Mem API Rules

55 rules · 39 errors 14 warnings 2 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Mem Openapi Overlay

2 actions · update · mem-openapi-original.json

DERIVED

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mem Authentication

apiKey/http/oauth2 · 3 schemes

SECURITY

Mem Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Mem Scopes

4 scopes · authorizationCode/clientCredentials

4 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Mem Agentic Access

64 operations · 33 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

OpenAPI

OpenAPI

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

MCPServer

LLMsTxt

WellKnown

AgenticAccess

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

Idempotency

Lifecycle

ErrorCatalog

Conformance

DataModel

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

Security

TrustCenter

Authentication

OAuthScopes

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

Support

Community

RateLimits

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: mem
name: Mem
description: Mem is an AI-native note-taking and knowledge workspace that captures notes, meetings, and ideas and keeps them
  instantly searchable and discoverable. It pairs a Workspace (notes, collections, projects, calendar, meeting transcription)
  with an Agent that tracks priorities and surfaces timely reminders. Mem exposes a REST API (the Mem Public Client API at
  https://api.mem.ai) for creating, reading, searching, and organizing notes and collections, plus semantic search, attachments,
  audio recordings, calendar, sessions, and tasks. It also ships an official hosted Model Context Protocol (MCP) server so
  AI tools like Claude, ChatGPT, and CLI agents can work with a user's Mem knowledge natively over OAuth. Mem is backed by
  a16z.
url: https://raw.githubusercontent.com/api-evangelist/mem/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://storage.googleapis.com/mem-public-assets/sq-f.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
tags:
- Company
- Notes
- Knowledge Management
- Productivity
- Artificial Intelligence
- Note Taking
- Search
- MCP
- Agents
- Meetings
tags_raw:
- Company
- Notes
- Knowledge Management
- Productivity
- Artificial Intelligence
- Note Taking
- Search
- MCP
- Agents
- Meetings
- Knowledge-Management
apis:
- aid: mem:mem-coreapi-service-info-api
  name: Mem CoreApi__service-info API
  description: The CoreApi__service-info API from Mem — 1 operation(s) for coreapi__service-info.
  humanURL: https://docs.mem.ai
  baseURL: https://api.mem.ai
  tags:
  - CoreApi__service-info
  properties:
  - type: OpenAPI
    url: openapi/mem-coreapi-service-info-api-openapi.yml
  - type: Documentation
    url: https://docs.mem.ai
  - type: APIReference
    url: https://docs.mem.ai/api-reference/overview/introduction
  - type: Authentication
    url: https://docs.mem.ai/api-reference/overview/authentication
  - type: RateLimits
    url: https://docs.mem.ai/api-reference/overview/rate-limits
  - type: ChangeLog
    url: https://docs.mem.ai/api-reference/overview/changelog
- aid: mem:mem-external-api
  name: Mem External API
  description: The external API from Mem — 53 operation(s) for external.
  humanURL: https://docs.mem.ai
  baseURL: https://api.mem.ai
  tags:
  - External
  tags_raw:
  - external
  properties:
  - type: OpenAPI
    url: openapi/mem-external-api-openapi.yml
  - type: Documentation
    url: https://docs.mem.ai
  - type: APIReference
    url: https://docs.mem.ai/api-reference/overview/introduction
  - type: Authentication
    url: https://docs.mem.ai/api-reference/overview/authentication
  - type: RateLimits
    url: https://docs.mem.ai/api-reference/overview/rate-limits
  - type: ChangeLog
    url: https://docs.mem.ai/api-reference/overview/changelog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 23
  pass: local-v1
common:
- type: Website
  url: https://www.mem.ai/
- type: DeveloperPortal
  url: https://docs.mem.ai
- type: Documentation
  url: https://docs.mem.ai
- type: APIReference
  url: https://docs.mem.ai/api-reference/overview/introduction
- type: GettingStarted
  url: https://docs.mem.ai/guides/get-started/quickstart
- type: Blog
  url: https://get.mem.ai/blog
- type: Support
  url: https://help.mem.ai
- type: Community
  url: https://get.mem.ai/slack
- type: GitHubOrganization
  url: https://github.com/mem-ai
- type: Pricing
  url: https://mem.ai/pricing
- type: SignUp
  url: https://mem.ai/login
- type: TermsOfService
  url: https://mem.ai/pages/terms-of-service
- type: PrivacyPolicy
  url: https://mem.ai/pages/privacy
- type: Security
  url: https://mem.ai/pages/security
- type: TrustCenter
  url: https://trust.mem.ai/
- type: OpenAPI
  url: openapi/_original/mem-openapi-original.json
- type: MCPServer
  url: mcp/mem-mcp.yml
- type: LLMsTxt
  url: llms/mem-llms.txt
- type: WellKnown
  url: well-known/mem-well-known.yml
- type: Authentication
  url: authentication/mem-authentication.yml
- type: OAuthScopes
  url: scopes/mem-scopes.yml
- type: AgenticAccess
  url: agentic-access/mem-agentic-access.yml
- type: DomainSecurity
  url: security/mem-domain-security.yml
- type: Conventions
  url: conventions/mem-conventions.yml
- type: Idempotency
  url: conventions/mem-conventions.yml
- type: RateLimits
  url: rate-limits/mem-rate-limits.yml
- type: ChangeLog
  url: changelog/mem-changelog.yml
- type: Lifecycle
  url: lifecycle/mem-lifecycle.yml
- type: ErrorCatalog
  url: errors/mem-problem-types.yml
- type: Conformance
  url: conformance/mem-conformance.yml
- type: DataModel
  url: data-model/mem-data-model.yml
- type: Overlay
  url: overlays/mem-openapi-overlay.yaml
- type: AgentSkill
  url: skills/_index.yml

Mem API — frequently asked questions

Does Mem have an API?

Yes. APIs.io lists 2 APIs from Mem, including Mem CoreApi__service-info API and Mem External API.

Is there an OpenAPI specification for the Mem API?

Yes. APIs.io indexes 2 OpenAPI specifications for Mem, each linked for download from this page.

How do I authenticate with the Mem API?

Mem documents its authentication (apiKey/http/oauth2 · 3 schemes). The details are profiled on APIs.io as Mem Authentication.

Does Mem have an MCP server?

Yes. APIs.io lists 1 MCP server for Mem: Mem ships an official hosted, remote MCP server that gives AI tools secure OAuth-authenticated access to a user's Mem notes and collections. The docs state it exposes 23 tools for reading, creating, s

Is the Mem API ready for AI agents?

Mem has a Kin Score of 44.2 out of 100 (developing) and an Agent Readiness score of 59.6 (agent-native), scored by API Evangelist on 2026-11-06.

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