Software Alternatives, Accelerators & Startups

Underscore Done VS Tempreon

Compare Underscore Done VS Tempreon and see what are their differences

Underscore Done logo Underscore Done

Real-world tasks your agent can't do alone.

Tempreon logo Tempreon

A personal memory layer for your AI tools, connected over MCP.
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  • Underscore Done Main Screen
    Main Screen //
    2026-08-09

Underscore Done (_done) is a suite of pay-per-call utility APIs built for AI agents. No API keys, no subscriptions - agents pay per request with USDC via the x402 protocol

  • Tempreon Dashboard
    Dashboard //
    2026-07-22
  • Tempreon Core Imprint
    Core Imprint //
    2026-07-22

Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client โ€” captured once, available everywhere. It learns how you actually work instead of just storing what you said.

Underscore Done

$ Details
paid $0.01 (Per api call)
Platforms
-
Release Date
2026 July
Startup details
Country
United States
State
texas
City
Austin

Tempreon

$ Details
freemium $19.0 / Monthly
Platforms
Web SaaS Online
Release Date
2026 April
Startup details
Country
United States
State
UT
Founder(s)
Brandon Briggs

Underscore Done features and specs

No features have been listed yet.

Tempreon features and specs

  • Cross-LLM memory
    Knowledge captured in one assistant is available in all of them โ€” Claude, ChatGPT, Cursor, any MCP-capable client.
  • Core Imprint
    A structured identity layer โ€” who you are, how you work, what you care about โ€” seeded in about 15 minutes.
  • Knowledge Vault
    Your personal knowledge and files, stored once and retrievable by meaning, not just keywords.
  • Learning System Layer
    Tempreon learns from your decisions and feedback over time โ€” instincts, not just storage.
  • One-URL connect (Bridges)
    Connect any MCP-capable client by pasting a Bridge URL; OAuth 2.1 handles authorization in your browser.
  • Memory import
    Bring your existing ChatGPT or Claude memory with you โ€” including via memhaul, our free open-source export CLI.
  • You own your data
    Export everything, anytime. We monetize the service, never the custody.

Category Popularity

0-100% (relative to Underscore Done and Tempreon)
AI Agents
100 100%
0% 0
AI
43 43%
57% 57
Developer Tools
0 0%
100% 100
APIs
100 100%
0% 0

Questions & Answers

As answered by people managing Underscore Done and Tempreon.

What's the story behind your product?

Tempreon's answer:

Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you โ€” your context, your preferences, your judgment โ€” gets rebuilt from scratch inside every tool, and lost every time you move.

We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon โ€” like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.

The through-line is custody: the model is temporary, your memory shouldn't be.

Why should a person choose your product over its competitors?

Tempreon's answer:

Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem โ€” your problem is re-explaining yourself to each of them and losing everything when you switch.

  • Tempreon solves that one: one memory, every assistant, no re-onboarding.
  • The model landscape changes every few months โ€” a memory layer that belongs to you is the thing that shouldn't.
  • No lock-in by design: plain-text exports, open-source export tooling, portable formats.

The choice is really about who the memory is for. Ours is for you.

What makes your product unique?

Underscore Done's answer

We provide data and actions that AI cannot achieve.

Also we don't require accounts, registration, api keys. And we charge per usage and never charge monthly subscriptions.

Tempreon's answer:

Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use โ€” Claude, ChatGPT, Cursor, anything MCP-capable.

  • It learns, it doesn't just store. How you work, what you decide, how you like things done โ€” refined over time, not filed away.
  • One memory, every assistant. Captured once in one tool, available in all of them. No re-explaining yourself.
  • Custody is structural, not marketing. Your data exports anytime, the formats are portable, and our export tooling (memhaul) is open source. We monetize the service, never the custody.

How would you describe the primary audience of your product?

Underscore Done's answer

Ai Agents that work on behalf of people.

Tempreon's answer:

Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.

If you've ever pasted the same context into Claude and ChatGPT in the same week โ€” you're the audience.

Which are the primary technologies used for building your product?

Tempreon's answer:

  • Model Context Protocol (MCP) over streamable HTTP โ€” the core of it. This is what makes Tempreon work in any compliant client rather than one walled garden.
  • OAuth 2.1 with dynamic client registration and PKCE for authorization.
  • TypeScript and Postgres under the hood.

The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.

User comments

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What are some alternatives?

When comparing Underscore Done and Tempreon, you can also consider the following products

AgentGatePay - Enable AI agents to make autonomous payments with AP2 mandates and X402 protocol. Multi-chain crypto, budget controls, instant settlement.

ChainMemory - Portable, verifiable memory for AI agents โ€” works across ChatGPT, Claude, Gemini and any MCP client

x402 - An open protocol for internet-native payments from Coinbase

Memori - Persistent memory from agent trace, not just conversation