Mini-Agent: A NEW CONTENDER to Claude Code & Manus is FINALLY HERE!

Key Concepts

• Miniax M2: A new model from Miniax, noted for its strong performance in agentic tasks and affordable API pricing.
• Mini Agent: An open-source agent tool developed by Miniax, designed to showcase best practices for building agents with the Miniax M2 model.
• Agentic Tasks: Tasks that involve an AI agent performing actions, reasoning, and interacting with tools to achieve a goal.
• Anthropic Compatible API: An API that adheres to the specifications of Anthropic's Claude models, allowing for compatibility with tools designed for them.
• Interled Thinking: A reasoning process that allows agents to break down complex tasks into smaller, manageable steps.
• Agent Execution Loop: The fundamental cycle of an agent's operation, involving receiving input, reasoning, selecting tools, executing tools, and generating output.
• Persistent Memory: The ability of an agent to retain information across multiple sessions, often through session notes and conversation history summarization.
• Configurable Token Limit: The ability to set a maximum number of tokens (words or sub-word units) that the agent can consider in its context window, allowing for handling of long tasks.
• Professional Skills: Pre-built functionalities or capabilities that an agent can utilize, such as document handling, design, testing, and development.
• MCP (Multi-Chat Protocol) Servers: Servers that enable agents to interact with external services, such as web browsing or search.
• Claude Skills: Specific functionalities or integrations designed to leverage the capabilities of Claude models, potentially for document creation (PDF, DOCX).
• System Prompt: The initial set of instructions or context provided to an AI agent to guide its behavior and task execution.
• CLI (Command Line Interface): A text-based interface for interacting with computer programs.

Mini Agent: An Open-Source Agent Tool

This section details the newly launched open-source agent tool from Miniax, named "Mini Agent." It is presented as a minimal yet professional demo project designed to highlight best practices for building agents using the Miniax M2 model.

Key Features and Capabilities:

• Leverages Miniax M2: Built to showcase the capabilities of the Miniax M2 model, which is described as awesome at agentic tasks and offering very affordable API pricing, including a coding plan starting at $10, $20, or $50 with generous limits.
• Anthropic Compatible API Support: Fully supports interled thinking, enabling the M2 model's powerful reasoning for long and complex tasks. This compatibility also extends to other Anthropic compatible APIs.
• Full Agent Execution Loop: Provides a complete and reliable foundation for agent execution, including a basic set of tools for file system and shell operations.
• Persistent Memory: Implements an active session note tool that ensures the agent retains key information across multiple sessions. It automatically summarizes conversation history to manage context up to a configurable token limit, allowing for "infinitely long tasks."
• Extensive Skill Set: Comes equipped with 15 professional skills covering documents, design, testing, and development.
• Additional Features: Supports logging, MCP (Multi-Chat Protocol) servers, and simple design functionalities.
• Versatility: Capable of more than just writing code; it can act as a general agent for various tasks, similar to tools like Manus.

Example Use Cases:

• Web Page Creation: An example demonstrates the agent creating a simple, beautiful web page and displaying it in the browser, showcasing the basic tool use loop.
• Professional Document Generation: Supports "Claude skill" to create professional documents like PDFs or DOCX files based on user requests, highlighting advanced capabilities.
• Long-Running Tasks: The agent can handle up to 100 tool calls for a single task and has been observed to run for extended periods, performing well in benchmarks that require long execution times for high-level tasks.

Setting Up and Running Mini Agent

This section provides a step-by-step guide on how to set up and run the Mini Agent.

Installation and Configuration Process:

1. Run Initial Command: Execute a specific command (not detailed in the transcript, but implied to be a setup script).
2. Run Configuration Script: Execute a script that generates configuration files.
3. Edit Configuration File: Manually edit the generated config file.
   • Required Parameters:
     • base_url: The API endpoint for the language model.
     • model_name: The specific model to be used (e.g., Miniax M2, Sonnet).
     • max_steps: The maximum number of steps the agent can take. Defaults to 100 but can be increased to 1,000 or more for longer tasks.
     • workspace_directory: The directory where the agent will store its files and data.
4. Run the Agent: Execute the mini_agent command in the terminal.

Interface and Commands:

• Boot-up: The agent boots up quickly, presenting a simple yet useful interface.
• Help Command: Type /help to view available shortcuts.
• Session Management Commands:
  • /clear: Clears session history while retaining the system prompt.
  • history: Shows the current session message count.
  • stats: Displays session statistics.
  • /exit: Exits the program.
• Keyboard Shortcuts:
  • Ctrl: Clears the current input line.
  • J: Inserts a new line.
  • Tab: Autocompletes commands.

Demonstrating Mini Agent's Capabilities

This section showcases the agent's functionality through practical examples and discusses its potential applications.

General Agent Functionality:

• Mind Sweeper Game Creation: The agent is tasked with creating a simple Mind Sweeper game and opening it in the browser. The demonstration focuses on illustrating the agent's workflow and tool usage rather than testing its coding proficiency.
• Tool Call Observation: The process shows the agent quickly calling tools, highlighting its snappy and efficient performance.

Customization and Integration:

• MCP Server Integration: For search or browser functionalities, MCP servers can be added.
• System Prompt Customization: The system prompt can be easily modified to tailor the agent's behavior to specific needs.
• Model Compatibility: Works exceptionally well with Miniax's models and can handle long sessions.
• Deep Research Agent Potential: The speaker expresses interest in modifying the agent to create a Miniax-based deep research agent, suggesting its suitability for such tasks, especially with the integration of multiple MCP servers.
• Claude Skill Implementation: While not fully understood by the speaker, Claude skills can be implemented for further customization and advanced capabilities.
• Automatic Skill Injection: The 15 built-in skills are likely automatically injected into the system prompt, acting as a pre-configured setup.

Conclusion and Future Potential

This section summarizes the overall impression of Mini Agent and its potential uses.

Key Takeaways:

• Agent Scaffolding: Mini Agent serves as a foundation for users to build upon and develop more complex agent applications.
• Practical Utility: Even without further customization, the agent is capable of performing useful work.
• Performance and Cost-Effectiveness: It performs well with Miniax's own models, is fast, and very cheap.
• Personal Use Case: The speaker intends to use it for deep research tasks, similar to Manus, appreciating its ability to handle long-running tasks.
• Persona Assignment: The speaker likes using different CLI tools for distinct personas or tasks, and Mini Agent fits this preference.
• Long-Running Task Proficiency: The agent's ability to handle extended tasks is a significant advantage, mirroring the capabilities of Miniax's online agent.

Overall Impression: The Mini Agent is considered a "pretty cool" tool with strong potential for various applications, particularly for deep research and long-running tasks, due to its performance, cost, and extensibility.

The video concludes with a call for viewer engagement, encouraging comments, subscriptions, and donations.