# OpenClaw

> An open-source specification for defining AI agent interfaces, capabilities, and interaction protocols in a standardized, portable format.

Category: Architecture

Source: https://chipp.ai/ai/glossary/openclaw

OpenClaw is an open-source specification for defining AI agent interfaces, capabilities, and interaction protocols. It aims to create a standardized way to describe what an AI agent can do, how to interact with it, and what to expect from its behavior — making agents portable and interoperable across platforms.

The specification addresses key challenges in the AI agent ecosystem: discoverability (how do you find agents with specific capabilities?), interoperability (how do agents from different platforms work together?), portability (how do you move an agent between platforms?), and trust (how do you verify an agent's capabilities and safety?).

OpenClaw is part of the broader movement toward AI agent standards, alongside protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent). While MCP standardizes tool connections and A2A standardizes agent communication, OpenClaw focuses on agent identity and capability description.

For the AI agent ecosystem, standards like OpenClaw are important because they prevent vendor lock-in, enable agent marketplaces, facilitate multi-agent collaboration, and build trust through verified capability descriptions.

## Related Terms

- [AI Agents](https://chipp.ai/ai/glossary/ai-agents.md): Autonomous AI systems that can perceive their environment, make decisions, and take actions to achieve specific goals.
- [Model Context Protocol (MCP)](https://chipp.ai/ai/glossary/mcp-protocol.md): An open protocol standardizing how AI assistants connect to external data sources and tools through a universal interface.
- [Agent-to-Agent Communication](https://chipp.ai/ai/glossary/agent-to-agent-communication.md): Protocols and patterns that allow autonomous AI agents to exchange messages, share context, and coordinate actions without human intervention.
- [Multi-Agent Systems](https://chipp.ai/ai/glossary/multi-agent-systems.md): AI architectures where multiple specialized agents collaborate, delegate tasks, and coordinate to accomplish complex objectives that no single agent could handle alone.

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This term is part of the [Chipp AI Glossary](https://chipp.ai/ai/glossary), a reference of AI concepts written for builders and businesses.

Build AI agents with no code at https://chipp.ai.