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Glen

Agent development frameworks · by Glen

A shared organizational memory service for AI agents accessed via a single MCP tool.

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What it does

A shared organizational memory service for AI agents accessed via a single MCP tool. Agents recall relevant observations and store new ones each turn, enabling org-wide knowledge compounding.

  • Org-wide agent knowledge sharing
  • Onboarding acceleration via inherited context
  • Customer account history retention
  • Decision provenance and audit trails
Category
Agent development frameworks
Users
Development teams, Organizations running AI agent fleets at scale
Public API
Not offered
Deployment
Self-hosted, On-premises

Not yet disclosed: platforms, languages and support channels.

Pricing

  • Free plan$0

Prices as published by Glen, checked Oct 2026.

Security and compliance

As reported by Glen. Ask for audit reports before you buy.

  • TLS encryption in transitCompliant
  • Cloud provider encryption at restCompliant
  • OAuth 2.1 for agent accessCompliant
  • argon2id API key hashingCompliant
  • Observation-level RBAC applied automatically at recall
  • Organization-level isolation via row-level database security
  • Data encrypted in transit with TLS
  • Data encrypted at rest by the cloud provider
  • API keys hashed with argon2id
  • Agent access via OAuth 2.1 (no long-lived secrets in agent configs)
  • Audit logs and access reviews (Scale and Enterprise plans)
  • PostHog session replay with masked form inputs
  • Honors Do Not Track and Global Privacy Control signals

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