Memori Labs

Memori Labs provides an agent‑native memory infrastructure that captures, classifies, and persists conversational state for production AI systems. It offers a LLM‑agnostic layer turning agent execution into structured data, with features like automatic remembering, customizable retention, and secure storage, enabling developers to build reliable, stateful AI applications.

Memori Labs is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Memory, Agents, and Infrastructure.

Memori Labs’ developer surface includes authentication, sandbox, getting-started guide, documentation, engineering blog, pricing, signup flow, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.8/100 emerging ▼ -6.8 Agent 3/100 human only Heartbeat 46/100 going silent Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 API

Company Artificial Intelligence Memory Agents Infrastructure

Kin Score

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

Composite quality — 24.8/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 5.9 / 17

Access Clarity 8.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.5 / 10

Discoverability 6.2 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 3/100 · human only

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 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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/memorilabs/"><img src="https://apis.io/badge/memorilabs/card.svg" alt="Memori Labs on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

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

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
Developer Ergonomics scores 34.5 — up to +13.1 composite points
Operational Transparency scores 0.0 — up to +13.0 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/memorilabs/apis.yml: open an issue on github.com/api-evangelist/memorilabs 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 →

APIs 1

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

Memori API

Memori API provides endpoints for agent memory, conversation, and management.

Memori Labs API pricing

Prices published by Memori Labs, read 2026-10-18 from memorilabs.ai/pricing.

Plan	Price
Open Source Free self-host	$0
Cloud Free	$0
Memori for Production Team	$60K per year, from Scale
Business	$150K per year, from Scale
Enterprise	Custom private offer

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Memorilabs Plans Pricing

5 plans

PLANS

Security Posture 2

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

Memorilabs Authentication

1 scheme

SECURITY

Memorilabs Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Sandbox

Sandbox

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

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: memorilabs
name: Memori Labs
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://memorilabs.ai/og-image.png
description: Memori Labs provides an agent‑native memory infrastructure that captures, classifies, and persists conversational
  state for production AI systems. It offers a LLM‑agnostic layer turning agent execution into structured data, with features
  like automatic remembering, customizable retention, and secure storage, enabling developers to build reliable, stateful
  AI applications.
url: https://raw.githubusercontent.com/api-evangelist/memorilabs/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Company
- Artificial Intelligence
- Memory
- Agents
- Infrastructure
tags_raw:
- Company
- AI
- Memory
- Agent
- Infrastructure
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/memorilabs-plans-pricing.yml
- type: Authentication
  url: authentication/memorilabs-authentication.yml
- type: Conformance
  url: conformance/memorilabs-conformance.yml
- type: LLMsTxt
  url: llms/memorilabs-llms.txt
- type: Hosts
  url: hosts/memorilabs-hosts.yml
- type: Vendors
  url: vendors/memorilabs-vendors.yml
- type: SDKs
  url: packages/memorilabs-packages.yml
- type: Packages
  url: packages/memorilabs-packages.yml
- type: Sandbox
  url: https://memorilabs.ai/playground/
- type: GettingStarted
  url: https://memorilabs.ai/docs/memori-cloud/getting-started/python-quickstart
- type: DomainSecurity
  url: security/memorilabs-domain-security.yml
- type: Website
  url: https://memorilabs.ai/
- type: Documentation
  url: https://memorilabs.ai/docs/
- type: PrivacyPolicy
  url: https://memorilabs.ai/privacy
- type: Blog
  url: https://memorilabs.ai/blog/
- type: Pricing
  url: https://memorilabs.ai/pricing
- type: SignUp
  url: https://app.memorilabs.ai/signup
apis:
- name: Memori API
  description: Memori API provides endpoints for agent memory, conversation, and management.
  humanURL: https://memorilabs.ai/docs/
  baseURL: https://api.memorilabs.ai
  aid: memorilabs:memori-api
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Memori Labs API — frequently asked questions

Does Memori Labs have an API?

Yes. APIs.io lists 1 API from Memori Labs, including Memori API.

How do I authenticate with the Memori Labs API?

Memori Labs uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Memorilabs Authentication.

How much does the Memori Labs API cost?

Memori Labs publishes its prices; its Open Source Free self-host plan is $0 as of 2026-10-18. APIs.io lists 5 pricing plans for Memori Labs, with each plan's price, limits and inclusions under Pricing on this page.

Is the Memori Labs API ready for AI agents?

Memori Labs has a Kin Score of 24.8 out of 100 (emerging) and an Agent Readiness score of 2.5 (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

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/memorilabs"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/memorilabs/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/memorilabs/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.