Memory Store

Memory Store is a Y Combinator (Spring 2026) startup building a universal, shared memory layer for teams and AI agents. It automatically collects insights from communication and productivity tools — Gmail, Slack, Granola, Claude, ChatGPT and more — and synthesizes them into an organized, searchable "company brain." Memory Store is delivered primarily as a Model Context Protocol (MCP) server, letting AI clients such as Claude, ChatGPT, Cursor and Raycast record what matters and recall it anywhere without changing existing workflows. A signature feature, "Briefs," maintains self-updating living documents (decision logs, team status, customer requests) as new information arrives.

Memory Store is listed with 1 API on the APIs.io network. Tagged areas include Company, Memory, AI Agents, MCP, and Knowledge Management.

Memory Store’s developer surface includes documentation, getting-started guide, signup flow, pricing, engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

21.5/100 emerging ▬ flat Agent 4/100 human only Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

Company Memory AI Agents MCP Knowledge Management Context Productivity Y Combinator

Kin Score

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

Composite quality — 21.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 5.4 / 17

Operational Transparency 1.7 / 11

Contract Governance 0.0 / 10

Discoverability 4.8 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 31.6 — up to +13.7 composite points
Developer Ergonomics scores 38.1 — up to +12.4 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/memory-store/apis.yml: open an issue on github.com/api-evangelist/memory-store 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 1

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 (documented)

APIs 1

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

Memory Store MCP Server

The Memory Store Model Context Protocol (MCP) server exposes shared team memory to AI clients (Claude, ChatGPT, Cursor, Raycast). It lets agents record and recall organizational...

MCP Servers 1

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

Memory Store MCP Server

Memory Store is delivered primarily AS a hosted Model Context Protocol (MCP) server — it is the company's core product, not a candidate surface. The MCP server gives AI clients ...

MCP SERVER

Security Posture 1

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

Memory Store Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: memory-store
name: Memory Store
description: Memory Store is a Y Combinator (Spring 2026) startup building a universal, shared memory layer for teams and
  AI agents. It automatically collects insights from communication and productivity tools — Gmail, Slack, Granola, Claude,
  ChatGPT and more — and synthesizes them into an organized, searchable "company brain." Memory Store is delivered primarily
  as a Model Context Protocol (MCP) server, letting AI clients such as Claude, ChatGPT, Cursor and Raycast record what matters
  and recall it anywhere without changing existing workflows. A signature feature, "Briefs," maintains self-updating living
  documents (decision logs, team status, customer requests) as new information arrives.
url: https://raw.githubusercontent.com/api-evangelist/memory-store/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
image: https://memory.store/opengraph-image.png
tags:
- Company
- Memory
- AI Agents
- MCP
- Knowledge Management
- Context
- Productivity
- Y Combinator
tags_raw:
- Company
- Memory
- AI Agents
- Model Context Protocol
- MCP
- Knowledge Management
- Context
- Productivity
- Y Combinator
- Knowledge-Management
apis:
- name: Memory Store MCP Server
  description: The Memory Store Model Context Protocol (MCP) server exposes shared team memory to AI clients (Claude, ChatGPT,
    Cursor, Raycast). It lets agents record and recall organizational context, search memory, and read/update living "Briefs."
    The hosted server is provisioned per workspace from the Memory Store app.
  humanURL: https://memory.store
  properties:
  - type: MCPServer
    url: mcp/memory-store-mcp.yml
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: 3
  pass: local-v1
common:
- type: Website
  url: https://www.memory.store/
- type: DomainSecurity
  url: security/memory-store-domain-security.yml
- type: DeveloperPortal
  url: https://memory.store/guides
- type: Documentation
  url: https://memory.store/guides
- type: GettingStarted
  url: https://memory.store/guides
- type: SignUp
  url: https://app.memory.store
- type: Pricing
  url: https://memory.store/pricing
- type: Blog
  url: https://memory.store/blog
- type: Support
  url: https://discord.gg/eREzXMqFpE
- type: StatusPage
  url: https://status.memory.store
- type: TermsOfService
  url: https://memory.store/terms
- type: PrivacyPolicy
  url: https://memory.store/privacy
- type: X
  url: https://x.com/memorydotstore
- type: LinkedIn
  url: https://www.linkedin.com/company/memorystore
- type: MCPServer
  url: mcp/memory-store-mcp.yml
- type: Lifecycle
  url: lifecycle/memory-store-lifecycle.yml

Memory Store API — frequently asked questions

Does Memory Store have an API?

Yes. APIs.io lists 1 API from Memory Store, including Memory Store MCP Server.

Does Memory Store have an MCP server?

Yes. APIs.io lists 1 MCP server for Memory Store: Memory Store is delivered primarily AS a hosted Model Context Protocol (MCP) server — it is the company's core product, not a candidate surface. The MCP server gives AI clients a shared, cross-tool te

Is the Memory Store API ready for AI agents?

Memory Store has a Kin Score of 21.5 out of 100 (emerging) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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