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Tempreon

Tempreon

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tempreon.comMemory & Knowledge0Updated 16w ago
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About Tempreon

Tempreon is a hosted personal knowledge layer for people using multiple AI tools. It carries captured knowledge and learned work patterns across connected MCP clients.

Key features

  1. 01Persistent personal identity layer
  2. 02Knowledge shared across AI clients
  3. 03Learns from decisions and work patterns
  4. 04OAuth 2.1 connection using a Bridge URL

Use cases

  1. 01Keep personal context available across AI tools
  2. 02Reuse decisions and preferences in coding clients
  3. 03Build accumulated work patterns over time

MCP support

Tempreon exposes a hosted MCP server over Streamable HTTP. Clients connect with a Bridge URL and OAuth 2.1 authorization to access the user's personal knowledge layer.

#memory#knowledge#personalization#portable-memory#cross-llm#oauth#remote-server#productivity

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.tempreon.com/functions/v1/tempreon-mcp/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Tempreon

The MCP layer between you and every AI tool. Your voice, your decisions, your judgment. Across Claude, ChatGPT, Cursor, and any MCP-capable client.

tempreon.com · Documentation · Pricing · Use cases · About

What Tempreon is

Tempreon is a portable knowledge layer about you, connected to AI tools through the Model Context Protocol (MCP). Where a company knowledge base brings a company's knowledge to AI, Tempreon brings you to AI — your voice, your decisions, your accumulated knowledge, your judgment — across every LLM you use.

Where most memory systems store and recall, Tempreon learns and grows. The model changes. The layer travels. The work compounds.

What it does

  • Persistent identity layer. Your Core Imprint, Knowledge Vault, Instincts, and captured patterns travel with you across every AI tool you connect.
  • Cross-LLM continuity. Knowledge captured in Claude is available in ChatGPT, Cursor, Codex, and any MCP-capable client. No re-explaining.
  • Learning, not just memory. Tempreon doesn't only store what you said — it learns from how you actually work, what you decide, and refines those patterns over time.
  • Person-centered, not company-centered. Built around the individual operator, consultant, founder, or knowledge worker — not the team or department.

See tempreon.com/use-cases for how operators, consultants, founders, sales professionals, knowledge workers, and others put Tempreon to work.

How it works

  1. Create your Tempreon account at tempreon.com. Complete the 13-dimension onboarding to seed your Core Imprint (~15 minutes).
  2. Connect a Bridge. Generate a Bridge URL from your dashboard, paste it into your MCP client (Claude Desktop, ChatGPT, Cursor, etc.), and authorize via OAuth in your browser.
  3. Use any AI tool. Your Tempreon layer is available across every connected client. As you work, Tempreon captures knowledge and refines instincts in the background.

For terminology specific to Tempreon (Core Imprint, Knowledge Vault, Forge Journey, Bridges, Instincts, and more), see the glossary.

Supported clients

ClientModeSetup guide
Claude DesktopmacOS, Windows/support/docs/bridges/claude-desktop
Claude CodeCLI/support/docs/bridges/claude-code
CodexChatGPT Mac app, IDE extension, CLI/support/docs/bridges/codex
ChatGPTWeb + desktop/support/docs/bridges/chatgpt
CursorCode editor/support/docs/bridges/cursor
Windsurf + other MCP-capable clientsAny/support/docs/bridges/connect-any-client

Technical orientation

  • Transport. Streamable HTTP (not stdio). No local config file or local process to manage — Tempreon is a hosted MCP server. Connect with a single URL.
  • Endpoint. https://api.tempreon.com/functions/v1/tempreon-mcp/mcp
  • Registry. Listed on the official MCP Registry as com.tempreon/tempreon.
  • Authentication. OAuth 2.1 with PKCE. Dynamic client registration per RFC 7591 — no pre-registration required.
  • Per-user isolation. Each account is isolated at the database level via row-level security. Your data is never shared with other users or used to train AI models — see our AI Use Policy for the full statement.

See docs/install.md for a quick install snippet, or the universal install guide for the canonical walkthrough.

Get started

Start free at tempreon.com

Free and paid plans — paid from $19/month (Founders Circle pricing, effective rate when billed annually). See tempreon.com/pricing for current plans and details.

About

Tempreon is built by Briggs Ventures, LLC (d/b/a Tempreon). For the founder story and product origin, see tempreon.com/about. Five patent applications are pending on the underlying architecture, including knowledge classification, learning pipeline mechanics, decision rules, MCP-integrated identity, and cross-LLM portability.

Resources & Trust

License

Proprietary. All rights reserved. Patent pending. See LICENSE for repository-specific terms. The Tempreon product and service are governed by the Terms of Service. This repository contains public documentation and integration assets only — Tempreon's product source code is not open source.

Contact

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.