ASR Memory

ASR Memory provides an MCP memory server that lets multiple AI tools share a common memory store. Users can save up to 1,000 memories for free, enabling AI agents to retain context across sessions. The platform offers API keys, a dashboard, and supports tools like Claude, Codex, and Gemini. It emphasizes privacy, with raw content stored and optional summaries for search.

ASR Memory is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Memory, MCP, Servers, and Collaboration.

ASR Memory’s developer surface includes authentication, documentation, and 8 more developer resources.

🌐 Visit website📡 Profile data on GitHub
16.2/100 emerging ▬ flat Agent 12/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →
1 API
Artificial IntelligenceMemoryMCPServersCollaboration

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0
Composite quality — 16.2/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 2.8 / 17
Access Clarity 1.8 / 17
Operational Transparency 0.0 / 11
Contract Governance 1.9 / 10
Discoverability 5.6 / 9
Regulatory Posture 4.2 / 15
Agent readiness — 12/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 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 5 / 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
  • MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • 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
9 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/asrmemory-com/apis.yml: open an issue on github.com/api-evangelist/asrmemory-com 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 2

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)
tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified
OAuth 2.0 Protected Resource Metadata
measured — observed by APIs.io (verified)

APIs 1

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

ASR Memory API

ASR Memory provides an MCP memory server allowing AI tools to store and retrieve memories via a JSON-RPC endpoint. Documentation is at https://asrmemory.com/docs.html.

ASR Memory API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Asrmemory Com Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Asrmemory Com Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Asrmemory Com Authentication

2 schemes

SECURITY

Asrmemory Com Domain Security

TLSv1.3

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Asrmemory Com Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 WellKnown
WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 1

The organization behind the API

Website
Website

Other 1

Properties that don't map to a standard resource type

Hosts
Hosts

Source (apis.yml)

apis.yml Raw ↑ 
aid: asrmemory-com
name: ASR Memory
description: ASR Memory provides an MCP memory server that lets multiple AI tools share a common memory store. Users can save
  up to 1,000 memories for free, enabling AI agents to retain context across sessions. The platform offers API keys, a dashboard,
  and supports tools like Claude, Codex, and Gemini. It emphasizes privacy, with raw content stored and optional summaries
  for search.
url: https://artifacts.apis.io/asrmemory-com/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://asrmemory.com/assets/og-image.png
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-02'
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Public documentation exists but no machine-readable OpenAPI, GraphQL, AsyncAPI, or other spec is published.
  evidence:
  - url: https://asrmemory.com/docs.html
    status: 200
  checked: '2026-11-02'
tags:
- Artificial Intelligence
- Memory
- MCP
- Servers
- Collaboration
tags_raw:
- AI
- Memory
- MCP
- Server
- Collaboration
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Authentication
  url: authentication/asrmemory-com-authentication.yml
- type: Conformance
  url: conformance/asrmemory-com-conformance.yml
- type: LLMsTxt
  url: llms/asrmemory-com-llms.txt
- type: WellKnown
  url: well-known/asrmemory-com-well-known.yml
- type: Hosts
  url: hosts/asrmemory-com-hosts.yml
- type: DomainSecurity
  url: security/asrmemory-com-domain-security.yml
- type: Website
  url: https://asrmemory.com/
- type: Documentation
  url: https://asrmemory.com/docs.html
- type: TermsOfService
  url: https://asrmemory.com/terms.html
- type: PrivacyPolicy
  url: https://asrmemory.com/privacy.html
apis:
- name: ASR Memory API
  description: ASR Memory provides an MCP memory server allowing AI tools to store and retrieve memories via a JSON-RPC endpoint.
    Documentation is at https://asrmemory.com/docs.html.
  humanURL: https://asrmemory.com/docs.html
  baseURL: https://asrmemory.com/mcp
  aid: asrmemory-com:asr-memory-api
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

ASR Memory API — frequently asked questions

Does ASR Memory have an API?

Yes. APIs.io lists 1 API from ASR Memory, including ASR Memory API.

How do I authenticate with the ASR Memory API?

ASR Memory uses bearer-token authentication (2 schemes). The details are profiled on APIs.io as Asrmemory Com Authentication.

Is the ASR Memory API ready for AI agents?

ASR Memory has a Kin Score of 16.2 out of 100 (emerging) and an Agent Readiness score of 11.5 (agent-aware), 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.

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