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About

MiniMax Mavis is an AI agent platform designed to handle complex, long-running tasks through collaborative multi-agent workflows. Formerly known as MiniMax Agent, the platform was upgraded and rebranded as Mavis, short for “MiniMax as a Jarvis,” with a focus on acting as an intelligent AI assistant for productivity and automation. Mavis introduces Agent Teams, allowing multiple specialized AI agents to work together in parallel, each taking on distinct roles to solve tasks more efficiently than a single agent. The platform supports coding, research, document creation, task automation, and workflow management across extended projects. Mavis is built to manage complex assignments that require planning, coordination, verification, and continuous execution over time. By combining multiple AI agents within a unified environment, MiniMax Mavis helps users complete sophisticated tasks with greater reliability and scalability.

About

Pi is a minimal terminal coding harness built to adapt to developer workflows instead of forcing developers to adapt to it. It ships with powerful defaults, but stays intentionally small and aggressively extensible, letting users customize Pi with extensions, skills, prompt templates, themes, and shareable packages from npm or git. If a team needs a command, tool, provider, workflow, or UI tweak, they can ask Pi to build it, manipulate it in place, reload, and keep going. Pi supports interactive, print/JSON, RPC, and SDK modes, making it usable as a full terminal UI, a scriptable command, a JSON event stream, or an embeddable agent harness. It works with 15+ providers and hundreds of models, including Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, OpenRouter, Ollama, and more, with mid-session model switching.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

MiniMax Mavis is ideal for software developers, researchers, enterprise teams, knowledge workers, operations professionals, and organizations seeking AI-powered multi-agent automation for complex workflows, coding, research, and productivity tasks

Audience

Developers and AI tool builders who want a minimal, extensible terminal coding agent they can customize, script, embed, and adapt to their own workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Pi Agent looks really appealing from a developer’s point of view because it is simple, open-source, and focused on the actual mechanics of building coding agents. It is not trying to be a giant all-in-one platform. It gives you the core pieces: a unified LLM API, an agent loop, a terminal UI, and a coding-agent CLI. I especially like the context-engineering approach. Being able to control project instructions with AGENTS.md, customize the system prompt with SYSTEM.md, and manage long sessions through compaction makes Pi feel built for developers who actually understand how fragile agent context can be. The open-source MIT license is a big plus too. If I am building serious agent workflows, I want to inspect the harness, modify it, swap models, and understand what is happening under the hood instead of being locked into a black-box coding assistant.

Cons

  • Pi Agent is probably not the best fit for someone who wants a polished, fully managed AI coding product out of the box. It feels more like a toolkit for developers who are comfortable configuring their own workflows, choosing models, and tuning the agent behavior. I would also want to test reliability carefully before using it on production repos. Coding agents can make impressive changes, but they can also get stuck, over-edit files, miss project conventions, or make subtle mistakes if the context and guardrails are not set up well. The simplicity is a strength, but it also means you may need to bring more of your own infrastructure, evals, permissions, and safety controls.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MiniMax
Founded: 2023
China
minimax.io

Company Information

Pi
United States
pi.dev/

Alternatives

MiniMax

MiniMax

MiniMax AI

Alternatives

Amp

Amp

Amp Code
MiniMax M3

MiniMax M3

MiniMax
Claude Code

Claude Code

Anthropic
Mavy

Mavy

Mavex.ai
MaxClaw

MaxClaw

MiniMax
Cline

Cline

Cline AI Coding Agent
MaxHermes

MaxHermes

MiniMax

Categories

Categories

Integrations

MiniMax
MiniMax M3
Amazon Bedrock
Claude Fable 5
Claude Mythos 5
Claude Opus 4.8
GPT-5.4 Pro
GPT-5.5
GPT-5.6 Sol
GPT-5.6 Sol Ultrafast
GPT-5.6 Terra
GPT-6
Graphify
Kimi K2.7 Code
Kimi K3
Mistral AI
Ollama
OpenAI
Paperclip
bb

Integrations

MiniMax
MiniMax M3
Amazon Bedrock
Claude Fable 5
Claude Mythos 5
Claude Opus 4.8
GPT-5.4 Pro
GPT-5.5
GPT-5.6 Sol
GPT-5.6 Sol Ultrafast
GPT-5.6 Terra
GPT-6
Graphify
Kimi K2.7 Code
Kimi K3
Mistral AI
Ollama
OpenAI
Paperclip
bb
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