Ecosystem

The Stack, Unpacked

Each product solves a specific problem in making autonomous agents practical, efficient, and safe. Use them independently, or together as a full deployment stack.

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ZeptoClaw

Ultra-lightweight personal AI assistant

A smaller, more secure runtime for AI agents. Runs agents as independent lightweight processes — approximately 6MB in binary size, enabling hundreds of agents in parallel without heavy framework overhead.

~6MB binaryProcess isolationEdge-deployableTool calling
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r8r

Agent-native workflow automation engine

Pronounced "rater" — multi-step flows, device and sensor events, tool coordination, retries and branching logic. Designed for agent workflows, local devices, machines, and automation systems.

Event-drivenMulti-step orchestrationDurable workflowsAGPL v3
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ZeptoPM

Process manager for AI agents — like PM2, but for LLMs

Manages large collections of ZeptoClaw agents — scheduling, lifecycle, resources — turning individual agents into coordinated autonomous systems.

Agent schedulingLifecycle controlResource coordinationmacOS + Linux
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ZeptoRT

Durable turn-based process runtime for AI agents

Journaled effects, snapshot recovery, OTP-style supervision. Provides replay, recovery, effect tracking, and runtime guarantees for long-running agent execution.

535+ tests passingReplay & recoveryEffect trackingSnapshot restore
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ZeptoCapsule

Isolation sandbox for AI agents

Configurable execution isolation — process, namespace, and Firecracker capsules. Different security levels depending on risk and trust requirements.

Process isolationNamespace sandboxingFirecracker VMsLinux + macOS
Experimental

ZeptoBot

Voice-controlled AI desktop assistant

Uses LLM reasoning to drive real desktop automation — clicking buttons, filling forms, navigating apps, and browsing the web. Experimental voice-first interface for agent interaction.

Voice controlDesktop automationLLM reasoningWeb browsing

All products are part of the ZeptoStack ecosystem by AISAR.

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