Quick Keypoints
- Captures and hand-off of workspace state (architecture, plan, next steps) between AI clients.
- Deploying remote Model Context Protocol (MCP) servers to bridge IDE workspace context.
- Stripping sensitive variables, secrets, and system prompts before handovers.
- Model-agnostic translation ensures clean transfers between Claude, ChatGPT, and Gemini.
What is Native Soil?
AI session continuity layer and context handover tool.
Native Soil is a context continuity service built for AI-assisted development. It lets developers capture the complete 'working state' of a coding session (architecture, decisions, planned modifications, task checklist) and hand it off securely to another model, thread, or IDE client without context drift or model confusion.
Who Needs Native Soil?
Developers using multiple IDE tools (Cursor, Zed, VS Code) and chatbot interfaces.
Primary Use Cases
- Capturing and hand-off of workspace state (architecture, plan, next steps) between AI clients.
- Deploying remote Model Context Protocol (MCP) servers to bridge IDE workspace context.
- Stripping sensitive variables, secrets, and system prompts before handovers.
Important Features
- State Handover: Packs project checklists and code context into a standardized handover format.
- Soil Cloud: Remote MCP server hosting that requires no local installation to link files.
- Secret Stripper: Automatically filters API keys and sensitive details from handover files.
Current Updates About Native Soil
- Continuous updates to the Cloud/Remote MCP connector and Desktop application for model-agnostic workspace context.
- Current Version: Beta
Alternatives to Native Soil
If you want to check similar software, these alternative tools offer comparative features:
Pricing Plans
| Plan | Price |
|---|---|
| FreeSave, move, and restore AI project states. | $0 |
| ProAdvanced project history management and continuity across different AI sessions. | Custom |
Editorial Verification
Independent Testing
This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.
Read Our Review Methodology →Explore Related Coding Assistants Tools
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