Why the Former Manus Lead Abandoned Function Calling for CLI Agents

The text argues that the current multi-tool, strongly-typed function calling paradigm for AI agents is inefficient and suggests a more effective approach using a single run(command="...") tool that utilizes a Unix-style Command Line Interface (CLI). This method is more aligned with the natural capabilities of Large Language Models (LLMs), which are already familiar with shell commands due to extensive pre-training on text data. The CLI approach simplifies the execution model by transforming complex tool interfaces into straightforward text commands, reducing cognitive load and increasing efficiency. However, to make this method suitable for enterprise applications, it requires additional layers for orchestration and memory, such as Epsilla's Semantic Graph and Agent-as-a-Service (AaaS), which provide context, governance, and long-term memory. The document emphasizes that the CLI approach is not only more natural for LLMs but also matches a design philosophy that has been effective for decades, allowing for efficient, scalable, and intelligent AI agents.

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