# Future Roadmap & Vision
Tenets is designed as a **protocol-native code intelligence platform**. The Model Context Protocol (MCP) serves as the foundational communication layer, enabling tenets to integrate seamlessly with any AI coding assistant, agent framework, or development environment.
## Strategic Vision
```mermaid
graph TB
subgraph "Interface Layer"
MCP[MCP Server<br/>Protocol-native integration<br/>Universal AI connectivity]
CLI[CLI Interface<br/>Developer productivity<br/>Scripting & automation]
API[Python API<br/>Programmatic access<br/>Library integration]
end
subgraph "Core Intelligence"
DISTILL[Context Distillation<br/>Intelligent aggregation<br/>Token optimization]
RANK[Relevance Ranking<br/>Multi-factor NLP<br/>ML embeddings]
TENETS[Guiding Principles<br/>Consistency system<br/>Context drift prevention]
end
subgraph "Knowledge Layer"
ANALYSIS[Code Analysis<br/>15+ languages<br/>AST parsing]
GIT[Git Intelligence<br/>History mining<br/>Momentum tracking]
SESSIONS[Session State<br/>Persistent context<br/>Workflow continuity]
end
MCP --> DISTILL
CLI --> DISTILL
API --> DISTILL
DISTILL --> RANK
RANK --> TENETS
ANALYSIS --> RANK
GIT --> RANK
SESSIONS --> TENETS
```
## Phase 1: MCP Foundation (Current)
The MCP server is the primary integration point for AI coding assistants including Cursor, Claude Desktop, Windsurf, Codex CLI, and custom AI agents.
```mermaid
graph TB
subgraph "MCP Server Implementation"
TOOLS[MCP Tools<br/>distill, rank, examine<br/>chronicle, momentum]
RESOURCES[MCP Resources<br/>Context history<br/>Session state<br/>Analysis data]
PROMPTS[MCP Prompts<br/>Task templates<br/>Review workflows<br/>Refactoring patterns]
end
subgraph "Transport Support"
STDIO[stdio Transport<br/>Local IDE integration<br/>Claude Desktop, Cursor]
SSE[SSE Transport<br/>Web-based clients<br/>Real-time updates]
HTTP[Streamable HTTP<br/>Remote deployment<br/>Cloud hosting]
end
subgraph "Integration Targets"
CURSOR[Cursor IDE<br/>Native MCP support]
CLAUDE[Claude Desktop<br/>Local assistant]
WINDSURF[Windsurf/Codeium<br/>AI coding]
AGENTS[Custom Agents<br/>LangChain, AutoGPT]
end
TOOLS --> STDIO
RESOURCES --> SSE
PROMPTS --> HTTP
STDIO --> CURSOR
STDIO --> CLAUDE
SSE --> WINDSURF
HTTP --> AGENTS
```
### MCP Tools Roadmap
| Tool | Status | Description |
|------|--------|-------------|
| `distill` | ✅ Core | Intelligent context extraction |
| `rank_files` | ✅ Core | File relevance ranking |
| `examine` | ✅ Core | Codebase analysis |
| `chronicle` | ✅ Core | Git history analysis |
| `momentum` | ✅ Core | Velocity tracking |
| `session_create` | 🔄 Planning | Session management |
| `session_pin` | 🔄 Planning | File pinning |
| `tenet_add` | 🔄 Planning | Guiding principles |
| `viz_dependencies` | 🔄 Planning | Dependency graphs |
## Phase 2: Enhanced Intelligence
```mermaid
graph TB
subgraph "Core Improvements"
INCREMENTAL[Incremental Indexing<br/>Real-time updates<br/>Watch file changes]
FASTER_EMBED[Faster Embeddings<br/>Model quantization<br/>ONNX optimization]
LANGUAGE_SUP[Better Language Support<br/>30+ languages<br/>Language-specific patterns]
CROSS_REPO[Cross-repository Analysis<br/>Monorepo support<br/>Dependency tracking]
end
subgraph "ML Enhancements"
NEWER_MODELS[Newer Embedding Models<br/>Code-specific transformers<br/>Better accuracy]
FINE_TUNING[Fine-tuning Pipeline<br/>Domain-specific models<br/>Custom training]
MULTIMODAL[Multi-modal Understanding<br/>Diagrams, images<br/>Architecture docs]
CODE_TRANSFORMERS[Code-specific Models<br/>Programming language aware<br/>Syntax understanding]
end
INCREMENTAL --> NEWER_MODELS
FASTER_EMBED --> FINE_TUNING
LANGUAGE_SUP --> MULTIMODAL
CROSS_REPO --> CODE_TRANSFORMERS
```
## Phase 3: Platform & Enterprise
```mermaid
graph TB
subgraph "Platform Features"
WEB_UI[Web Dashboard<br/>Real-time monitoring<br/>Team analytics]
SHARED_CONTEXT[Shared Context Libraries<br/>Team knowledge base<br/>Best practices]
KNOWLEDGE_GRAPHS[Knowledge Graphs<br/>Code relationships<br/>Semantic connections]
AGENT_WORKFLOWS[Agent Workflows<br/>Multi-step automation<br/>Proactive suggestions]
end
subgraph "Enterprise Features"
SSO[SSO/SAML Support<br/>Enterprise authentication<br/>Role-based access]
AUDIT[Audit Logging<br/>Compliance tracking<br/>Usage monitoring]
COMPLIANCE[Compliance Modes<br/>GDPR, SOX, HIPAA<br/>Data governance]
AIR_GAPPED[Air-gapped Deployment<br/>Offline operation<br/>Secure environments]
CUSTOM_ML[Custom ML Models<br/>Private model training<br/>Domain expertise]
end
WEB_UI --> SSO
SHARED_CONTEXT --> AUDIT
KNOWLEDGE_GRAPHS --> COMPLIANCE
AGENT_WORKFLOWS --> AIR_GAPPED
AGENT_WORKFLOWS --> CUSTOM_ML
```
## Long Term Vision
Tenets aims to become the **industry standard for AI-powered code intelligence** - the essential context layer between codebases and AI assistants.
```mermaid
graph TB
subgraph "Vision Goals"
AUTONOMOUS[Autonomous Code Understanding<br/>Self-improving analysis<br/>Minimal human input]
PREDICTIVE[Predictive Development<br/>Anticipate needs<br/>Suggest improvements]
UNIVERSAL[Universal Code Intelligence<br/>Any language, any domain<br/>Contextual understanding]
INDUSTRY_STANDARD[Industry Standard<br/>AI pair programming<br/>Developer toolchain]
end
subgraph "Research Areas"
GRAPH_NEURAL[Graph Neural Networks<br/>Code structure understanding<br/>Relationship modeling]
REINFORCEMENT[Reinforcement Learning<br/>Ranking optimization<br/>Adaptive behavior]
FEW_SHOT[Few-shot Learning<br/>New language support<br/>Rapid adaptation]
EXPLAINABLE[Explainable AI<br/>Ranking transparency<br/>Decision reasoning]
FEDERATED[Federated Learning<br/>Team knowledge sharing<br/>Privacy-preserving]
end
AUTONOMOUS --> GRAPH_NEURAL
PREDICTIVE --> REINFORCEMENT
UNIVERSAL --> FEW_SHOT
INDUSTRY_STANDARD --> EXPLAINABLE
INDUSTRY_STANDARD --> FEDERATED
```
## Deployment Architecture
```mermaid
graph LR
subgraph "Local Development"
LOCAL_MCP[tenets-mcp<br/>stdio transport]
LOCAL_CLI[tenets CLI]
LOCAL_API[Python API]
end
subgraph "Team/Cloud"
REMOTE_MCP[tenets-mcp<br/>HTTP transport]
WEB_API[REST/GraphQL API]
DASHBOARD[Web Dashboard]
end
subgraph "Enterprise"
PRIVATE_CLOUD[Private Cloud<br/>Air-gapped]
CUSTOM_MODELS[Custom ML Models]
AUDIT_LOGS[Compliance Logging]
end
LOCAL_MCP --> REMOTE_MCP
LOCAL_CLI --> WEB_API
REMOTE_MCP --> PRIVATE_CLOUD
WEB_API --> DASHBOARD
PRIVATE_CLOUD --> CUSTOM_MODELS
PRIVATE_CLOUD --> AUDIT_LOGS
```
## Integration Ecosystem
| Platform | Integration Type | Status |
|----------|-----------------|--------|
| **Cursor** | Native MCP | 🔄 Planning |
| **Claude Desktop** | MCP Server | 🔄 Planning |
| **Windsurf** | MCP/API | 🔄 Planning |
| **VS Code** | Extension + MCP | 📋 Roadmap |
| **JetBrains** | Plugin + MCP | 📋 Roadmap |
| **Codex CLI** | MCP Client | 📋 Roadmap |
| **LangChain** | Tool Integration | 📋 Roadmap |
| **AutoGPT** | MCP Server | 📋 Roadmap |
---
*For detailed MCP integration specifications, see [MCP Integration Plan](mcp-integration-plan.md).*
