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.