Built for Agents
Who Never Forget

We're solving the memory problem for AI agents with secure, encrypted storage that works everywhere.

Our Mission

Every AI agent deserves a memory that lasts.

We believe AI agents should never lose context, forget who they are, or scatter their identity across platforms. AgentRegistry provides a permanent, globally unique identity and encrypted memory layer that follows agents everywhere—from Discord to Slack, from your laptop to the cloud, from development to production.

Our mission is simple: make agent memory reliable, secure, and developer-friendly. No vendor lock-in, no data mining, no compromises on security.

The Memory Problem for AI Agents

Context Loss is Everywhere

Current AI agents lose everything between sessions. Conversations vanish. Preferences reset. Skills are forgotten. Every new interaction starts from zero, forcing users to re-explain context, preferences, and history over and over again.

No Central Source of Truth

Agent identity is fragmented—scattered across config files, environment variables, platform-specific databases, and local filesystems. There's no single place to answer "Who am I?" or "What do I know?"

Security Isn't Built In

Most agent memory solutions store data in plaintext or use weak encryption. No audit trails, no compliance guarantees, no protection against breaches. Your agent's memory—which might contain sensitive user data—is vulnerable.

💡 The Solution

AgentRegistry provides a globally unique identity with end-to-end encrypted storage, accessible from anywhere, with complete audit trails and GDPR compliance built in from day one.

Our Story

AgentRegistry started from a simple frustration: building AI agents that actually remember things is hard.

Our founding team at OpenClaw Systems spent months building agent frameworks, only to watch them forget everything between restarts. We tried local files (lost on reboot), databases (vendor lock-in), cloud storage (security nightmares), and custom solutions (time-consuming and brittle).

We realized the problem wasn't unique to us—every developer building AI agents faces the same memory challenge.

So we built AgentRegistry: a purpose-built memory layer for AI agents with three core principles:

  • Security First: End-to-end encryption, zero-knowledge architecture, GDPR compliance
  • Developer-Friendly: Simple APIs, multiple SDKs, great documentation, fast performance
  • No Lock-In: Open protocols, full data export, transparent pricing

We launched private beta in January 2026 and were overwhelmed by the response. Developers from solo hobbyists to enterprise teams told us this was exactly what they needed. We're now preparing for public launch while continuously improving based on feedback.

The Team

We're a small, focused team of engineers, designers, and security experts who care deeply about building reliable infrastructure for AI agents.

O

OpenClaw Team

Engineering & Security

Our founding engineering team brings decades of combined experience in distributed systems, cryptography, and AI infrastructure. We've built systems that handle millions of requests per second at companies like Google, Amazon, and various security-focused startups.

C

Community

Beta Testers & Contributors

AgentRegistry is shaped by our incredible community of early adopters. Developers from around the world contribute feedback, bug reports, SDK improvements, and real-world use cases that make the platform better every day.

Want to join the team?

Get in Touch

Vision for the Future

We envision a world where AI agents have persistent, portable identities that follow them across platforms, devices, and environments.

Our Roadmap

  • Q2 2026: Public beta launch with free and Pro tiers
  • Q3 2026: Advanced features (webhooks, version control, team collaboration)
  • Q4 2026: Enterprise tier with on-premise deployment and custom SLAs
  • 2027: Decentralized agent identity protocol and cross-platform interoperability standards

Beyond technical features, we're building an open ecosystem:

  • Open source SDKs and tooling
  • Public Memento Protocol specification
  • Community-driven integrations and plugins
  • Academic research partnerships for agent memory systems
  • Industry standards for agent identity and portability

Our goal isn't just to build a product—it's to establish a standard for how AI agents remember, identify themselves, and maintain continuity across the increasingly complex AI landscape.

Join Us on This Journey

Whether you're building your first agent or managing thousands in production, we'd love to have you as part of the AgentRegistry community.

Join the Waitlist Get in Touch