Roadmap

This document outlines the development roadmap for OpenViking.

Completed Features

Core Infrastructure

• Three-layer information model (L0/L1/L2)
• Viking URI addressing system
• Dual-layer storage (AGFS + Vector Index)
• Async/Sync client support

Resource Management

• Text resource management (Markdown, HTML, PDF)
• Automatic L0/L1 generation
• Semantic search with vector indexing
• Resource relations and linking

Retrieval

• Basic semantic search (find)
• Context-aware search with intent analysis (search)
• Session-based query expansion
• Reranking pipeline

Session Management

• Conversation state tracking
• Context and skill usage tracking
• Automatic memory extraction
• Memory deduplication with LLM
• Session archiving and compression

Skills

• Skill definition and storage
• MCP tool auto-conversion
• Skill search and retrieval

Configuration

• Pluggable embedding providers
• Pluggable LLM providers
• YAML-based configuration

Server & Client Architecture

• HTTP Server (FastAPI)
• Python HTTP Client
• API Key authentication
• Client abstraction layer (LocalClient / HTTPClient)

---

Future Plans

CLI

• Complete command-line interface for all operations
• Distributed storage backend

Multi-modal Support

• Intelligent parsing and access for multi-modal resources (images, video, audio, etc.)
• Directory storage structure for multi-modal resources

Context Management

• Propagation updates when context is modified
• Version management and rollback for context (git-like)

Resource Node Access Control

• Multi-Agent / Multi-User support
• Role-based isolation design
• Access control and permission design for resource directory nodes

Ecosystem Integration

• Popular Agent framework adapters
• Plugin system for custom components

We welcome suggestions and feedback in issues.

---

Contributing

We welcome contributions to help achieve these goals. See Contributing for guidelines.