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

# Roadmap

* **Q1 2025:**
  * Launch the core platform with multi-tenant orchestration and the Python library for agent development, establishing a strong foundation for developers and users.
* **Q2 2025:**
  * Integrate **Etherfun** and **Solana Pump.fun** to enable seamless token creation.  Users will have the ability to create and deploy tokens with enhanced utility.
* **Q3 2025:**
  * **Bring Your Own Coin (BYOC)** is a feature that adds utility to users existing tokens.
  * Introduce **Dual-GPT Intelligence**, leveraging Developer GPT and API Agent GPT for enhanced agent development and execution.
  * **Extend MCP IDE Extensions, fully integrating with popular IDEs using the Model Context Protocol.**
* **Q4 2025:**

         Launch **Flow Studio**, a no-code workflow builder for rapid prototyping and accessibility.

  * Implement **3D/Visual Media** Integration for agent avatars minted as NFTs, stored on IPFS.
  * Offer **Deployment Options** (cloud and self-hosted) to meet diverse needs.
* **2026:**
  * Open-source the [Ambient AGI](https://www.ambientagi.ai/) **SDK**, empowering developers to build custom integrations and tools, fostering a collaborative ecosystem.
* **Beyond 2026:**
  * Introduce advanced features, including decentralized governance, agent collaboration ecosystems, and predictive analytics.


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.ambientagi.ai/roadmap.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.