Roadmap

Native CHR withdrawals to EVM chains will be integrated into the Chromia Vault interface.

The team will be unveiling information about the next phase of Chromia’s development.

The staking system will transition to Chromia Mainnet. This upgrade will allow users to stake on Chromia, Ethereum, and Binance Chain and delegate their tokens to a mainnet provider through a single interface.

A publicly accessible version of Filehub will be deployed to mainnet, enabling decentralized storage as a service on Chromia.

The bridge will be augmented with additional security features in preparation for expanded TVL and asset support.

Asgard adds support for ‘Extensions’, customized containers that expand Chromia’s capabilities. Extensions will be piloted with ecosystem partners before public release.

The Oracle Extension fetches data from an oracle source and delivers it directly to a Chromia dapp chain, providing reliable, low-latency access to any required price pair.

Python is the leading language in machine learning. This release facilitates integration between Python applications and Rell, broadening Chromia’s potential in blockchain powered AI.

Neural Interface allows the Chromia blockchain to function as a memory bank and historical record for AI agents. Version 2.0 will expand upon and refine the existing codebase.

The AI Inference Extension introduces custom containers that allow providers to apply AI models using their node’s computational power.

Vector databases are used extensively by LLMs and other AI applications, as they enable efficient comparisons, relationship identification, and contextual understanding.

Chromia’s second mainnet upgrade, scheduled for late Q1. This upgrade will enhance support for blockchain enabled AI applications and expands the capabilities of Chromia Extensions.

Add Zero-Knowledge Proof functionality to Chromia, enabling developers to implement proof generation and validation as required by their applications.

Upgrade the Inference Extension to use a Python based framework, allowing for the use of more powerful models.

Integrate the Vector DB Extension with LangChain, a leading open source framework that connects LLMs to data sources.

Explore how physical AI devices can interact with Chromia to reward real world engagement with on-chain incentives.

Enable FT4 token functions for applications written in Go, facilitating centralized exchange integrations and extending access to a broader range of developers.

Launch a public testnet demo showcasing an LLM hosted on Chromia.

Chromia native NFT standard that is interoperable with ERC-721 and 1155, offering enhanced features including on-chain storage and expanded metadata.

Tooling and documentation to bridge ERC-721 and ERC-1155 NFTs to Chromia, where they are represented as CRC2.

Launch a dedicated mainnet cluster with GPU support for AI applications.

Build a ‘one-click’ VectorDB product that can compete with mainstream solutions while offering market leading transparency.

Upgrade the AI Inference Extension to utilize the dedicated AI cluster for GPU based on-chain computation.

Apply learnings from the pilot phase to expand ChromBot's capabilities.

Release a Governance module that will allow Native CHR stakers to nominate providers and propose grants.

Allow providers to choose the percentage of their network fees to share with their staked delegates.

Provide tooling and documentation to support third-party development of Extensions.

Establish a managed repository and interface for Extension deployment.