Last Updated: 2025-12-01 | Current Version: v0.2.5
Roadmap will be dynamically adjusted based on community feedback and development progress
timeline
title NextConsole Development Journey
2025 Q4 : v0.3-v0.4 : Core Workflow &<br>Knowledge Base Capabilities
2026 Q1 : v0.5 : Official App Marketplace<br>& Tenant Billing
2026 Q2 : v0.6 : 5+ Industry-Specific<br>Solutions
2026 Q3 : v0.7 : 5+ SaaS Platform<br>Integrations
2026 Q4 : v0.8 : Enterprise Self-Learning<br>& Long-term Memory
Building an enterprise-grade LLM application development platform that enables every organization to quickly create intelligent business assistants and lowers the barrier to AI application development.
Focus: Workflow Engine & Knowledge Base System
graph LR
A[Workflow Engine] --> B[Visual Configuration]
A --> C[Node Reusability]
B --> D[Single Node Testing]
C --> E[Team Sharing]
- Smart Workflow System: Support for code node fixed logic, Agent loop processing, cross-application node copying
- Admin Console Upgrade: New visual interface, Embedding model configuration, XiaoYi Assistant migration framework
- Knowledge Base Foundation: Online Wiki editing, document vectorization, intelligent search optimization
Focus: Official App Marketplace & Commercialization Exploration
- App Marketplace 1.0: Official application distribution platform supporting developer publishing and monetization
- Tenant Management System: Multi-tenant isolation, resource quotas, usage billing
- Commercial Foundation: Subscription management, payment integration, billing system
💡 Value for Architects: Enterprise-grade deployment solutions and scalable business models
Focus: Vertical Industry Application Deep Packaging
| Industry Domain | Core Features | Status |
|---|---|---|
| Finance | Smart Report Analysis, Data Auditing | 🚧 In Development |
| Approval | Process Automation, Intelligent Routing | 🚧 In Development |
| Customer Service | Multi-turn Dialogue, Sentiment Recognition | 🚧 In Development |
| Operations | Fault Diagnosis, Automated Handling | 🚧 In Development |
| Writing | Content Generation, Style Adaptation | 🚧 In Development |
- 5+ Industry Solutions: Ready-to-use professional application templates
- Domain-Optimized Models: Specially fine-tuned models for specific scenarios
- Business Data Integration: Standard connectors for common business systems
💡 Value for Developers: Reduce wheel reinvention and deliver industry applications rapidly
Focus: Deep Integration with Mainstream SaaS Platforms
- 5+ SaaS Platform Integrations: Message interoperability, user synchronization, unified authentication
- Hybrid Deployment Mode: Flexible public cloud + private deployment options
- Open Ecosystem Protocols: Standard API interfaces and extension specifications
Focus: Enterprise Self-Learning & Long-term Memory
graph TB
A[Enterprise Data] --> B[Continuous Learning]
B --> C[Knowledge Precipitation]
C --> D[Intelligent Evolution]
D --> E[Business Optimization]
E --> A
- Self-Learning Framework: Continuous model optimization based on business feedback
- Long-term Memory System: Organizational knowledge precipitation and intelligent reuse
- Personalized Adaptation: Enterprise-specific AI assistant training platform
💡 Value for Enterprises: Build continuously evolving proprietary intelligent capabilities
We welcome various forms of participation:
- Code Contributions: Claim tasks labeled
roadmapin GitHub Issues - Solution Discussions: Submit proposals with
RFC:prefix in discussion area - Ecosystem Partnership: Become a first-batch developer in the official marketplace
- Sponsorship Support: Support project development through Open Collective
| Version | Status | ETA | Completion |
|---|---|---|---|
| v0.3.0 | 🚧 In Development | 2025-09 | 45% |
| v0.4.0 | 📋 Planned | 2025-10 | 0% |
| v0.5.0 | 📋 Planned | 2026-03 | 0% |
| v0.6.0 | 📋 Planned | 2026-06 | 0% |
| v0.7.0 | 📋 Planned | 2026-09 | 0% |
| v0.8.0 | 📋 Planned | 2026-12 | 0% |
🌟 Join Us: Let's build the next generation enterprise AI application platform together!
Visit GitHub Repository for more details
Note: This roadmap will be dynamically adjusted based on technological developments and community feedback. Please refer to project documentation for the latest version