PraqtorDB is a Verifiable AI Memory that integrates your data sources, works with different AI models, and verifies answers against your own data.
Different AIs. One memory. Claude drafts a proposal and PraqtorDB checks every claim.
ChatGPT, connected to the same memory, gives a second opinion and flags two more.
Your AI forgets. PRAQTORDB doesn't, every claim checked against your memory before you send.
PraqtorDB checks against your approved memory. Claims not in memory cannot be verified. Always review before sending.
Four pillars hold your AI together — one memory, verified answers, models that collaborate, and a thread you can carry anywhere.
Context, decisions, and facts persist in one place — independent of which AI you're talking to. Notes, docs, deep memory, and knowledge graph work together so your AI always has the full picture.
Before anything ships — an email, a proposal, a report — verify every claim against your own data. Wrong facts get flagged. Correct facts get cited. Your approved documents are the source of truth, not the internet.
One command fans out your question to Claude, ChatGPT, Gemini, and Grok. Each model contributes its strengths. The best ideas are synthesized into one superior answer — then verified against your memory.
Start a conversation in Claude, continue it in ChatGPT — with full context. Your AI history lives in PraqtorDB, not trapped in any single provider. Switch models without losing your thread.
Truth is curated, never assumed. Every record is tagged, every decision traceable.
Every document follows a lifecycle — Draft → Approved → Outdated. Only approved content decides verification verdicts. Your truth is curated, never auto-trusted.
One centralized view of everything your system treats as truth. See what's approved, what needs review, and what's outdated — all in one place.
Each conversation owns its own notes and docs. Structured headers tag every record with project, chat, and date — creating a searchable audit trail.
Every cross-model discussion is automatically recorded. Expand any session to see what each AI said and what the final synthesis was.
Find anything across your memory using keyword matching, semantic search, or entity-based knowledge graph queries.
PraqtorDB integrates directly with the cloud platforms your organization already uses. Files are synced, indexed, and organized into a Knowledge Graph automatically.
Sync files from Google Drive and Workspace. Docs, Sheets, and Slides are exported and indexed alongside PDFs, Word, Excel, and more.
Connect OneDrive for Business or personal accounts. Full folder browsing with selective file sync into your knowledge base.
Browse and sync files from Dropbox. Read-only access with cursor-based pagination for large folder structures.
Enterprise-grade Box integration for organizations that rely on Box for secure file storage and collaboration.
Index repositories, documentation, and code files. READMEs, notebooks, and source code become searchable knowledge.
Connect Adobe Document Cloud for PDF-heavy workflows. Sync and index documents stored in Adobe's ecosystem.
PraqtorDB connects to your AI tools through the Model Context Protocol, so your memory and knowledge follow you across every assistant you use. One memory layer, every model.
Native MCP integration across Desktop and Web. Ask Claude about anything in your knowledge base and it retrieves with sources.
Connect via MCP. Your context, your sources, accessed from ChatGPT with full source attribution.
For developers. Bring your project context, documentation, and team knowledge into your code editor.
Memory-aware AI coding. PraqtorDB grounds Windsurf in your real codebase and documentation.
Google's Gemini ecosystem via MCP support. Your knowledge layer, Gemini's reasoning.
Any MCP-compatible agent or framework. LangGraph, AutoGen, OpenAI Agents SDK, your own builds.
Write a note once. Ask about it from Claude tomorrow, from ChatGPT next week. PraqtorDB is the layer underneath. Switch AI tools without losing context. Your data, your continuity.
When files are synced, PraqtorDB extracts entities, relationships, and key concepts into a Knowledge Graph. The AI understands context, not just keywords.
No manual tagging. No folder hierarchies to maintain. Your documents become structured, searchable intelligence the moment they sync.
PraqtorDB supports GPT-4.1, Claude, Gemini, Llama, Grok, and others through a unified AI router. Your team picks the model that works best for the task. The knowledge layer underneath stays the same.
Switch models without losing context. Your data, your choice.
A built-in verification layer cross-checks responses across independent retrieval paths. When both paths agree, you get a verified answer grounded in your data.
When they disagree, the system flags the divergence. Transparency over confidence.
PraqtorDB supports the Model Context Protocol (MCP), allowing AI platforms like Claude, Cursor, and Windsurf to access your memory and knowledge directly.
Your data stays in one place. Your AI tools connect to it wherever you work.
Connect. Index. Ask. Verify.
Link Google Drive, OneDrive, Dropbox, or other cloud storage. One-time OAuth setup, read-only access.
Files are synced, extracted, chunked, and embedded. Entities and relationships flow into the Knowledge Graph.
Use the AI router to query your data with the model of your choice. Or connect via MCP from Claude, Cursor, or Windsurf.
Responses are cross-checked across independent retrieval paths. Answers are grounded in your data, not hallucinated.
PraqtorDB does not replace your tools. It makes the AI you already use more valuable by grounding it in your own data.
PraqtorDB can complement your existing platform by adding a verified, model-agnostic intelligence layer on top of your customers' data.