Modern AI development workflows are increasingly multi-tool:
- Cursor for coding
- Claude Code for reasoning
- Codex for generation
- Gemini CLI for exploration
- VS Code as the base environment
The problem: context fragmentation
Every tool maintains its own ephemeral state.
Solution: A Shared Context Layer
Contorium introduces a persistent context system that acts as a coordination layer between MCP-compatible AI tools.
Core Idea
Instead of:
Tool A context ≠ Tool B context ≠ Tool C context
We move toward:
Shared Project Context Layer (SPCL)
→ all tools read/write from same state
Key Capabilities
- Context persistence across tool switching
- Unified project state for AI agents
- MCP-compatible integration layer
- Reduced cognitive overhead for developers
Why It Matters for AI Engineering
As we move toward multi-agent systems, orchestration becomes more important than individual model capability.
Contorium is effectively an early step toward:
AI-native version control for context
Closing Thought
Git solved collaboration for code.
Contorium is aiming to solve collaboration for AI context.
Contorium
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