# MiniMax-AI/Mini-Agent

A minimal yet professional single agent demo project that showcases the core execution pipeline and production-grade features of agents.

Repository: https://github.com/MiniMax-AI/Mini-Agent
Canonical: https://ross.abutalabs.com/products/mini-agent
Homepage: https://www.minimax.io/
Language: Python
License: MIT
License Family: permissive
Topics: agent, llm, minimax
Last push: 2026-02-14T04:00:26+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 67, release rhythm 35, longevity 21
- inputs: {"age_days": 306, "days_push": 200, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2984, forks 439 (observed 2026-08-28T04:07:34.013145+00:00)

## What it is
A minimal yet professional Python demo project showcasing best practices for building a single LLM agent on the MiniMax M2.5 model via an Anthropic-compatible API. It implements a full agent execution loop with file/shell tools, persistent session memory, automatic context summarization, Claude Skills, and MCP tool integration behind a clean CLI.

## Use cases
- build an AI agent with MiniMax M2.5
- learn how agent execution loops work
- run an agent that edits files and runs shell commands
- give an agent persistent memory across sessions
- handle long tasks with automatic context summarization
- integrate MCP tools like web search into an agent
- starting point for building custom coding agents

## When to choose
- you want a small, readable codebase to learn agent architecture
- you are building on MiniMax models and want a reference implementation
- you need a working CLI agent with memory, skills, and MCP support out of the box

## When to avoid
- you need a production multi-agent orchestration framework
- you require model-agnostic support beyond Anthropic-compatible APIs
- you want a GUI or web-based agent interface

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, llm-inference, mcp, cli, developer-tools
- domain: large-language-models, developer-tools
- platform: python, cli, cross-platform
- tags: minimax, single-agent, claude-skills, session-memory, context-management, demo-project, ai-agents, command-line

## Member repositories
- MiniMax-AI/Mini-Agent (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:34.013145+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:31:26.895473+00:00, confidence not recorded.
  - readme: https://github.com/MiniMax-AI/Mini-Agent (fetched 2026-08-28T04:07:34.013145+00:00, sha b88074d82a3d)
  - homepage: https://www.minimax.io/ (fetched 2026-08-29T09:46:36.114900+00:00, sha 4750f71d0331)
  - site_page: https://www.minimax.io/about (fetched 2026-08-29T09:46:36.124058+00:00, sha dea11ef0f24f)
  - site_page: https://platform.minimax.io/docs/api-reference/video-generation-v2-create (fetched 2026-08-29T09:46:36.125929+00:00, sha 75d5cfe870c0)
  - site_page: https://platform.minimax.io/docs/guides/text-generation (fetched 2026-08-29T09:46:36.127916+00:00, sha 260a4f53a7ef)
  - site_page: https://platform.minimax.io/docs/guides/video-generation (fetched 2026-08-29T09:46:36.129935+00:00, sha 7c0b7ec5a142)
  - site_page: https://platform.minimax.io/docs/guides/speech-voice-clone (fetched 2026-08-29T09:46:36.131915+00:00, sha 656927527880)
- Data as of 2026-08-30T08:39:29.467469+00:00.