network-ai

What problem does it solve?

This Skill addresses the challenge of coordinating multiple AI agents sharing state, ensuring race condition prevention, enforcing permissions, budgets, and providing audit trails in complex workflows.

Core Features & Use Cases

• Atomic shared state: Prevents race conditions with propose-validate-commit file-system mutex.
• Permission gating: Uses cryptographically signed tokens for resource access control.
• Per-agent token budgets: Enforces token ceilings to prevent runaway costs.
• Workflow management: FSM-based gating, timeouts, and compliance monitoring.
• Multi-framework support: Integrates LangChain, AutoGen, CrewAI, MCP, OpenClaw, and custom adapters.
• Audit trail: Maintains signed logs of permissions, state changes, and violations.
• Persistent project context: Layer-3 memory injection for goal, milestone, and decision continuity.
• Advanced modules: Agent VCR, comparison runner, coverage report, agent sandbox runtime, and versatile CLI.

Quick Start

Use Network-AI to orchestrate a multi-agent workflow with atomic blackboard updates, enforce budgets and permissions, and monitor compliance, enabling safe and transparent AI pipeline management.