Skip to Content
DocumentationRoadmap

Roadmap

We are committed to continuous innovation, with key milestones including:

Q1 2025

  • Models
    • Llama
    • Perplexity
    • Grok
    • Qwen
    • DeepSeek
    • Other Community Models
  • Features
    • Prompt Management System: Introduce a system for managing, versioning, and optimizing prompts to improve model performance and usability.
    • Multi-Agent Workflow/Chain: Enable complex workflows where multiple agents can collaborate, pass tasks, and share context seamlessly.
    • LLM Output Extractor for Any Structure: Build a robust output extraction system that can parse and structure unstructured LLM outputs into usable formats (e.g., JSON, XML).
    • Embedding for Any Structure: Develop embedding techniques that can handle diverse data structures (e.g., graphs, tables, nested JSON) for better representation and retrieval.
    • Inference Engine: Release the first version of the inference engine, optimized for low-latency, high-throughput model serving.
    • More Storage Support: Mivus, Postgres, Sqlite, etc.
    • More Knowlege Support: Docx, Excel, CSV, GitCommit, etc.
  • Integrations
    • Eliza for Alith Node SDK: Integrate Eliza into the Alith Node SDK for foundational NLP capabilities.
    • Langchain for Alith Python SDK: Fully integrate Langchain into the Alith Python SDK to enable advanced chaining, memory, and tooling for LLM applications.
    • Langchain.js for Alith Node SDK: Bring Langchain capabilities to the Node.js ecosystem with Langchain.js integration.
  • Tools
    • Clients
      • Twitter: Develop a Twitter client for real-time social media monitoring, sentiment analysis, and engagement.
      • Discord: Create a Discord bot for community management, moderation, and interactive AI-driven conversations.
      • Slack: Develop a Slack bot for seamless communication and task management.
    • Web3
      • Ethereum: Enable integration with Ethereum for smart contract interactions, wallet management, and decentralized application (dApp) support.
      • Solana: Add support for Solana to provide fast and cost-effective blockchain interactions.
      • Metis: Add support for Metis to provide an efficient Layer 2 scaling solution, enabling rapid deployment and low-cost interactions for decentralized applications (dApps) and decentralized autonomous organizations (DAOs).
    • Other Community Tools
  • Operations
    • Monitoring and Logging: Enhance monitoring and logging capabilities for better operational insights and troubleshooting.
    • Security Enhancements: Introduce advanced security measures, including encryption and access control, to protect data and systems such as TEE.
  • Use Cases
    • ChatBot CLI and UI: Release a command-line interface (CLI) and user interface (UI) for building and deploying chatbots with minimal setup.
    • DeFAI: Develop AI-driven tools for decentralized finance, including portfolio management, risk assessment, and automated trading strategies.
  • Community and Ecosystem
    • Developer Documentation: Create more comprehensive documentation, including tutorials, API references, and best practices, to onboard developers quickly.
    • Partnerships and Collaborations: Form strategic partnerships with academic institutions, industry leaders, and open-source communities to drive innovation and adoption.

Q2 2025

  • Models
    • Custom Model Training: Develop tools for fine-tuning and training custom models specific to user needs.
    • Model Optimization: Implement techniques for model compression and optimization to improve performance and reduce costs.
  • Features
    • Real-Time Data Processing: Integrate real-time data processing capabilities for time-sensitive applications.
    • Explainability and Transparency: Develop features to provide insights into model decision-making processes, enhancing trust and usability.
    • Distributed Inference: Enhance the inference engine to support distributed computing, enabling scalable and efficient model serving across multiple nodes.
    • Adaptive Batching: Introduce adaptive batching techniques to optimize throughput and latency based on incoming request patterns.
  • Integrations
    • LazAI: Integrate LazAI Blockchain for decentralized, secure, and scalable AI model deployment. Enable on-chain inference using WebAssembly (WASM) for efficient and trustless execution of AI models.
    • IoT Devices: Enable integration with IoT devices for real-time data collection, processing, and decision-making in edge computing scenarios.
  • Tools
    • Web3
      • Polygon: Add support for Polygon to enhance scalability and reduce transaction costs.
      • NFT Marketplaces: Integrate with popular NFT marketplaces like OpenSea and Rarible.
    • Other Community Tools
  • Operations
    • AWS Lambda Deployment: Optimize the framework for serverless deployment on AWS Lambda, enabling scalable and cost-effective execution.
    • Vercel Deployment: Support deployment on Vercel for seamless frontend and backend integration, particularly for web-based applications.
  • Use Cases
    • Meme Coin Creation Platform: Launch a platform for creating and managing meme coins, leveraging AI for market analysis, trend prediction, and community engagement.
    • AI-Powered Content Creation: Develop tools for AI-generated content, including articles, videos, and social media posts, tailored to specific audiences and platforms.
  • Community and Ecosystem
    • Developer Documentation: Create more comprehensive documentation, including tutorials, API references, and best practices, to onboard developers quickly.
    • Partnerships and Collaborations: Form strategic partnerships with academic institutions, industry leaders, and open-source communities to drive innovation and adoption.
Last updated on
DevelopingReference