Agents

소개

Empower your primary AI assistant by enabling it to delegate complex or specialized tasks to other AI models via an OpenAI-compatible Model Context Protocol (MCP) server. This tool allows users to define and invoke AI agents with custom system prompts, specific models, and tailored queries, overcoming limitations of single-model chat and context windows. Agent configurations are conveniently stored as local Markdown presets, supporting integration with various OpenAI-compatible APIs, including local LLM servers and cloud providers, to orchestrate powerful, multi-model AI workflows.

주요 기능

• Invoke AI agents with custom system prompts, models, and queries via OpenAI-compatible APIs.
• Define agent metadata (description, model, effort, inputs, outputs) primarily for calling LLMs.
• Store and manage agent presets locally as Markdown files with YAML frontmatter configuration.
• Delegate specific tasks to specialized AI models, bypassing single-model chat restrictions.
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• Integrate with a wide range of OpenAI-compatible endpoints, including local LLMs and cloud providers.

사용 사례

• Delegating complex tasks like deep code audits, architecture planning, or root-cause debugging to specialized AI models.
• Overcoming single-model context limits by offloading specific queries and information gathering to dedicated agents.
• Automating content generation, such as rewriting README files with a specific tone or style.