🧠 The Problem
AI coding tools like Cursor, Claude Code, and Codex are powerful.
But they share one fundamental limitation:
they do not maintain runtime continuity across sessions.
Every session restart causes:
- loss of active context
- loss of workspace state
- repeated explanations
- broken debugging flow
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⚠️ Why memory tools are not enough
Many solutions attempt to solve this with:
- prompt memory
- vector databases
- chat history storage
But these approaches assume the problem is:
“we need to remember text”
In reality, the problem is:
“we need to maintain system state”
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🧠 AI coding is not a chat system
It is a runtime system composed of:
- file system state
- git state
- tool execution state
- user intent state
Chat history is only a tiny fragment of this system.
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🚀 The missing layer: Runtime Continuity
We introduce a new abstraction:
Runtime continuity layer for AI coding agents
This layer maintains:
- current focus
- workspace state
- session continuity
across tools and sessions.
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⚙️ What this enables
With runtime continuity:
AI agents can:
- resume work without re-explaining context
- maintain project state across IDE restarts
- align with real workspace changes
- operate consistently across tools
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🧩 Contorium architecture (high level)
Contorium is built around:
- IDE-native workspace tracking
- Git-aware state detection
- session continuity model
- MCP-compatible runtime interface
It does NOT rely on chat history.
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🔄 Key difference
Traditional AI tools:
- stateless sessions
- isolated prompts
- no persistent runtime
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Contorium:
- continuous workspace state
- cross-session alignment
- runtime-level abstraction
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🌐 Ecosystem support
Contorium works with:
- Cursor
- VS Code
- Claude Code
- Codex
- MCP-compatible agents
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🧠 Why this matters
We are seeing the emergence of a new layer in AI systems:
- Model layer
- Tool layer
- Runtime layer ← missing today
Contorium is building this missing layer.
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🚀 Summary
AI coding tools don’t need better prompts.
They need:
a runtime continuity layer.
🔗 Try Contorium
- Website: https://contorium.dev
- GitHub: https://github.com/ContoriumLabs/contorium
