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, AI, Memory, Agent, 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
31.7/100 thin Agent 6/100 agent aware Full breakdown ↓
scored 2026-10-18 · rubric v0.24.0
1 API
CompanyAIMemoryAgentInfrastructure

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-18 · rubric v0.24.0
Composite quality — 31.7/100 · thin
Contract Quality 0.0 / 21
Developer Ergonomics 8.5 / 17
Access Clarity 10.6 / 17
Operational Transparency 0.0 / 11
Contract Governance 1.7 / 10
Discoverability 5.6 / 9
Regulatory Posture 2.9 / 15
Agent readiness — 6/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 12 / 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
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/.
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 github.com/api-evangelist/memorilabs: open an issue to ask a question, or submit a pull request to add artifacts. 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.

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)

apis.yml Raw ↑ 
aid: memorilabs
name: Memori Labs
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
- 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

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