Agent-native infrastructure for identity, payments, and communication — pay per use, no subscription.
Best for: Developers building autonomous AI agents that need to pay for APIs or services, Startups creating agent-based SaaS products with usage-based billing
Governed shared memory for enterprise AI agent fleets
Best for: Organizations running multiple AI agent fleets that need persistent shared memory, Enterprises requiring governance, audit trails, and tenant isolation for AI memory
Local-first AI memory capturing your screen, audio, and apps.
Best for: Developers building AI agents that need real-time desktop context, Knowledge workers who want to search all meetings, screens, and app activity locally
Data primitives and infrastructure for collaborative, multi-agent systems.
Best for: Developers building collaborative multi-agent systems with durable agent loops, Teams creating real-time local-first applications with Postgres sync
Open-source AI-native backend with self-evolving memory
Best for: Developers building AI-native applications with custom RAG and agentic workflows, SaaS founders adding generative AI features without building in-house pipelines
Memory as a POSIX filesystem for AI agents with semantic grep.
Best for: Developers building autonomous agents needing persistent memory via filesystem, AI researchers managing large document corpuses with semantic search
Memory database for AI agents with cognitive features like contradiction detection and pain warnings
Best for: AI agent developers needing persistent, structured memory across sessions, Developers of personal AI assistants that learn from user conversations over time
Centralized authorization layer for AI agents to securely access any API.
Best for: Developers building multi-agent production systems needing secure API access., Teams that need full audit trails tracing AI actions back to specific humans.
