How I Turned Xiaomi MiMo’s 1.6 B Token Grant into an Automated AI Resource Hub

MiMo Token Grant Overview

MiMo activity (2026‑04‑28 to 2026‑05‑28) provides up to 100 trillion tokens to AI creators. Individual approved applicants receive a quota (e.g., 1.6 billion tokens) via the MiMo API platform after submitting a form describing project, AI usage, and token need.

Warning: Details may change; refer to the official page and notification email.

Application Process

Enter email address.

Describe the project.

Explain how MiMo will be used.

Including links to GitHub, website, screenshots, or demo videos improves credibility.

Example Application: llm‑wiki

Project llm-wiki is a local AI knowledge‑base system. The application highlighted:

Long‑term workflow: Used daily for AI research, tool tracking, and article writing.

Token consumption: Continuous reading, summarizing, linking, and answering queries.

Public output: Potential open resource for AI creators.

llm-wiki/
├── raw/          # read‑only source material
├── wiki/         # LLM‑maintained knowledge base
├── concepts/     # concept pages
├── entities/     # entity pages
├── sources/      # material summaries
├── outputs/      # query and analysis results
└── CLAUDE.md     # Agent work specifications

Integration with AI Resource Hub

After receiving the quota, the tokens were integrated into a product‑grade demo site AI Resource Hub (http://www.inshocking.com). The site lists 56 curated AI resources across tools, tutorials, prompts, open‑source projects, and industry news, with Chinese/English switching and dark mode.

AI Resource Hub Structure
├── Front‑end display pages
├── Resource database
├── MiMo inference layer
├── Hermes Agent (runs daily at 09:00)
│   ├── Scan latest AI resources
│   ├── Read webpages and project descriptions
│   ├── Generate summaries
│   ├── Auto‑tag
│   ├── Assess resource value
│   ├── Deduplicate & merge
│   └── Update the resource hub
└── Scheduled tasks

The Hermes Agent replaces a simple crawler by using an LLM to decide resource purpose, target audience, duplication, long‑term value, and recommendation reason. The author claims this LLM‑driven judgment is about 100× more effective than rule‑based filters.

Success: The 1.6 B token quota enables month‑long sustainable operation.

Why the Grant Is Significant

MiMo allocates production‑grade token resources directly to developers who can demonstrate real AI work, lowering the token‑cost barrier for agents that require dozens or hundreds of model calls per day.

Target Applicants

AI product builders (tools, plugins, SaaS prototypes).

Content creators using AI for writing, topic selection, or knowledge‑base construction.

Independent developers with open‑source projects, agent demos, or automation tools.

Enterprise AI practitioners (internal knowledge bases, customer‑service Q&A, data analysis).

Learners of Agent/LLM development.

Key Implementation Details

Hermes Agent workflow (executed each day at 09:00):

09:00 → Hermes Agent scans new AI resources
      → MiMo performs summary, classification, tagging, deduplication
      → Update the hub
      → Produce topics, weekly reports, trend analyses

Five LLM‑driven actions:

Summarization: Compress project description, README, or webpage into a concise sentence.

Classification: Auto‑determine primary category and auxiliary tags.

Tagging: Identify semantic tags beyond keyword matching.

Deduplication: Detect and merge duplicate resources.

Recommendation reason: Generate a one‑sentence justification for inclusion.

Success: 1.6 B tokens are sufficient to move the system from proof‑of‑concept to a sustainable, month‑long operation.

Future Plans

Planned follow‑up posts will cover detailed MiMo API integration, Hermes Agent filtering logic, and cost/effectiveness analysis of running a long‑term agent with the granted tokens.

Sources

AI Resource Hub: https://www.inshocking.com

MiMo Orbit Token Incentive Program: https://100t.xiaomimimo.com/

MiMo Official Site: https://mimo.xiaomi.com/

MiMo API Platform: https://platform.xiaomimimo.com/