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markus
by markus-global
Operating system for persistent, autonomous AI agent workforces
TypeScript
Updated Jul 18, 2026
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Overview
Orchestrates autonomous AI agents into a persistent, company-like workforce. Agents coordinate via the A2A Protocol Pattern for multi-agent workflows, remember across sessions, review each other's work, and execute tasks with a single command and no external dependencies. session-spanning memory. Distinctive features include session-spanning memory, peer review workflows, and a mobile-first management UX for running an AI team from your phone.
Key Benefits
As agents become more autonomous, knowing what they did and why is essential for trust and repeatability. Markus gives teams a runtime where agents keep histories, critique each other, and maintain continuous records—key inputs for building agent track records and reputation. Treating coordination, memory, and review as built-in primitives makes agent-to-agent evaluation and governance practical AI Governance.
When to Use
Teams or solo builders who want a self-hosted, session-persistent runtime to run, monitor, and govern multiple collaborating agents Model Context Protocol (MCP) Pattern.
How It's Used
- Coordinating long-running agent workflows that require memory across sessions
- Capturing agent decisions and peer reviews to build agent track records
- Running a self-hosted AI workforce from a phone or lightweight runtime for on-call automation
Works With
typescript
Topics
agent-governanceagent-memoryagent-runtimeagent-to-agentai-agentsai-companyai-teamai-workforceautonomous-agentsllm+4 more
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Keywords
multi-agent trustagent-to-agent evaluationagent governanceagent-memory