Glen

Glen is a Y Combinator (Summer 2026) startup building a shared organizational learning and memory system for fleets of AI agents. The platform acts as a centralized store that every AI agent in a company can read from and write to, so that when one agent learns something the whole organization gains access to it. Glen preserves decisions, customer insights and operational procedures with full audit trails, applies role-based access control per observation at recall time, and connects to coding agents, PR assistants, bug bots and sales agents over the Model Context Protocol (MCP). It integrates with the tools where work already lives (code repositories, pull requests, issues, documentation and meetings) to give both agents and humans unified organizational context, aiming to eliminate knowledge silos, reduce new-hire ramp time and retain institutional knowledge through employee turnover. The company is pre-launch and operating a waitlist; its primary integration surface is an MCP server rather than a traditional REST API.

Glen is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Model Context Protocol, and Organizational Memory.

Glen’s developer surface includes engineering blog, signup flow, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub
15.8/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessApproval
0 APIs 1 MCP Servers
CompanyArtificial IntelligenceAI AgentsModel Context ProtocolOrganizational MemoryKnowledge ManagementDeveloper ToolsY Combinator

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 15.8/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 12/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/glen: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

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

glen-mcp.yml

MCP SERVER

Security Posture 1

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

Glen Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp
SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: glen
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/glen.png
name: Glen
description: Glen is a Y Combinator (Summer 2026) startup building a shared organizational learning and memory system for
  fleets of AI agents. The platform acts as a centralized store that every AI agent in a company can read from and write to,
  so that when one agent learns something the whole organization gains access to it. Glen preserves decisions, customer insights
  and operational procedures with full audit trails, applies role-based access control per observation at recall time, and
  connects to coding agents, PR assistants, bug bots and sales agents over the Model Context Protocol (MCP). It integrates
  with the tools where work already lives (code repositories, pull requests, issues, documentation and meetings) to give both
  agents and humans unified organizational context, aiming to eliminate knowledge silos, reduce new-hire ramp time and retain
  institutional knowledge through employee turnover. The company is pre-launch and operating a waitlist; its primary integration
  surface is an MCP server rather than a traditional REST API.
url: https://raw.githubusercontent.com/api-evangelist/glen/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
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- AI Agents
- Model Context Protocol
- Organizational Memory
- Knowledge Management
- Developer Tools
- Y Combinator
apis: []
common:
- type: DomainSecurity
  url: security/glen-domain-security.yml
- type: Website
  url: https://tryglen.com/
- type: Blog
  url: https://tryglen.com/blog
- type: SignUp
  url: https://tryglen.com/
- type: TermsOfService
  url: https://tryglen.com/terms
- type: PrivacyPolicy
  url: https://tryglen.com/privacy
- type: MCPServer
  url: mcp/glen-mcp.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence