OpenClaw is the open-source multi-agent orchestration framework that powers Bitontree Workforce. This article goes deeper into the technical architecture.
OpenClaw treats AI agents as first-class entities with defined capabilities, permissions, and boundaries — not prompt wrappers around a language model. Each agent is a composite of: a system prompt, tool connections, an escalation policy, and an observation scope.
The orchestration layer uses event-driven routing. When a trigger occurs, the orchestrator evaluates routing rules to determine which agent handles it. Routing can be rule-based, content-based, or load-balanced.
Context sharing uses a scoped memory architecture. Each agent interaction creates a context object stored in the shared memory layer. Other agents can read context objects within their observation scope — but not outside it. A compliance agent can see that the research agent found certain case precedents, but cannot see the communication agent's draft response to an unrelated matter.
Safety guardrails are architectural, not instructional. Permission boundaries are enforced by the framework. Even if a prompt injection attack attempted to instruct an agent to access data outside its scope, the framework would block the attempt at the API layer.
The key evaluation questions: can you inspect the orchestration logic? Can you audit the context sharing? Can you independently verify the safety guardrails? With OpenClaw, the answer is yes — because the code is open.