> For the complete documentation index, see [llms.txt](https://docs.mind-mesh.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mind-mesh.info/roadmap.md).

# Roadmap

The Mindmesh roadmap is designed to roll out progressively across three phases: core infrastructure, economic bootstrapping, and developer expansion.

{% stepper %}
{% step %}

### Q1 2025

* Whitepaper release and early devnet for Compute Mesh.
* Initial GitHub repositories open-sourced.
* Early community incentives and ambassador program launched.
  {% endstep %}

{% step %}

### Q2 2025

* $MESH Token Generation Event (TGE).
* Ecosystem airdrop and validator onboarding.
* Testnet deployment of Prompt Station and Model Hub.
* Multi-chain LayerZero deployment begins.
  {% endstep %}

{% step %}

### Q3 2025

* Launch of Model Monetization.
* Public Prompt Station goes live.
* DAO bootstrap and governance proposals opened via Snapshot.
* Early adopters rewarded.
  {% endstep %}

{% step %}

### Q4 2025

* zkML Proof-of-Inference integration.
* Data Grid public beta.
* New grants program to support DePIN integrations and AI agents for DAOs.
  {% endstep %}

{% step %}

### Q1 2026

* Expansion to Solana, Base, and BSC.
* Model registry indexing and on-chain analytics.
* Launch of validator rewards and cross-chain staking.
  {% endstep %}

{% step %}

### Q2 2026

* Mindmesh Mainnet v1.0 release.
* DAO-controlled emissions.
* Listing on major CEXs.
* Launch of enterprise subnets and SDKs.
  {% endstep %}
  {% endstepper %}

More details on deliverables, audits, and KPIs will be made available on roadmap.mindmesh.ai


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.mind-mesh.info/roadmap.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
