Vaultit
Keep shared session memory and decisions aligned when you switch models or run multiple LLM agents on one product.
Overview
Vaultit is a MCP server for the Build phase that gives coding agents shared session continuity across Claude, GPT, Gemini, and other LLMs to reduce model drift.
What is this MCP server?
- Stdio MCP server (vaultit 0.6.1) distributed via PyPI for local agent hosts
- Marketed for zero model drift and session continuity across heterogeneous LLM backends
- Works with any MCP-compatible client, not locked to a single vendor IDE
- Python package lives under TheRealDataBoss/vaultit repository subfolder packages/python
- Fits stacks where you rotate models mid-project without rewriting conversation state by hand
- Published server version 0.6.1 on PyPI registry
- Single stdio transport package identifier vaultit
- Repository source github.com/TheRealDataBoss/vaultit (packages/python)
What problem does it solve?
Switching models or agents mid-sprint wipes context, so you repeat constraints and watch implementations diverge from what you already approved.
Who is it for?
Indie builders running multiple LLM clients on one repo who need durable cross-model memory without building a custom state store.
Skip if: Teams that use a single model in one chat thread only, or who need full RAG over a large doc corpus instead of session continuity.
What do I get? / Deliverables
After you register Vaultit, agents can pull consistent session state across model changes so handoffs stay aligned with earlier decisions.
- Registered stdio MCP server pointing at vaultit 0.6.1
- Cross-model session reads/writes available to your coding agent tool loop
- Reduced re-prompting when changing LLM backends on the same project
Recommended MCP Servers
Journey fit
Vaultit is shelved under Build because solo builders wire it while configuring multi-agent workflows, before drift shows up in production. Agent-tooling is the canonical facet for MCP servers that persist context across Claude, GPT, Gemini, and other models.
How it compares
Cross-agent session store via MCP, not a prompt-only skill or a generic vector database.
Common Questions / FAQ
Who is Vaultit for?
Vaultit is for solo builders and small teams using Claude Code, Cursor, Codex, or other MCP hosts who rotate between LLM providers and want one continuity layer.
When should I use Vaultit?
Use it when you start multi-agent or multi-model work on the same product and notice repeated explanations, conflicting refactors, or lost approvals after a model switch.
How do I add Vaultit to my agent?
Install the PyPI package Vaultit (0.6.1), add a stdio MCP server entry named io.github.TheRealDataBoss/Vaultit in your client config, and restart the host so tools load over local transport.