Colbot's answer

Colbot isn't just an OCR tool or a file converter — it reasons over the content with AI to derive fields that aren't spelled out in the source, then fits them to your existing spreadsheet.

• Schema-aware, not template-locked — authorize a Google Sheet and Colbot reads your column headers to build a reusable parser. No per-document mapping rules to configure.
• One pipeline, many inputs — drag in files (PDF, Word, Excel, images, CSV), capture web pages with the Chrome extension, or POST via API — everything flows through the same extract-and-append process.
• Batch and parallel — drop a whole stack of mixed files at once; scanned PDFs and photos are read with OCR.
• Human-in-the-loop, by choice — switch on an optional review step, with every extraction and write fully auditable.

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 — Claude, ChatGPT, Cursor, anything MCP-capable.

• It learns, it doesn't just store. How you work, what you decide, how you like things done — 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.

Colbot's answer

• No per-layout templates — many extraction tools make you train a template for every document type. Colbot infers structure from your sheet's headers and adapts, so mixed and one-off documents just work.
• It understands, not just transcribes — beyond copying visible text, the AI infers fields the source only implies, so you get spreadsheet-ready data instead of a raw dump.
• Files and the web and API in one tool — no stitching together a scraper, an OCR service, and an automation app; Colbot captures from uploads, web pages, and API into Google Sheets through a single flow.
• Built for teams, with a paper trail — roles, permissions, and an optional review step let people approve what the AI proposes, and every write is auditable.

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 — 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 — 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.

Colbot's answer

Colbot is for anyone who repeatedly types data into a spreadsheet by hand and wants that to stop.

• Ops, finance & admin teams turning invoices, receipts, and PDF forms into structured rows.
• Analysts & researchers consolidating data from mixed files, scanned documents, and web pages.
• Sales & e-commerce pulling product listings, prices, and leads off the web with the Chrome extension.
• Teams that live in Google Sheets and want AI and people to share the work, with roles and review.

It fits individuals and small-to-midsize teams best — pay-as-you-go pricing lets you start without an enterprise commitment, while roles and permissions scale as the team grows.

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 — you're the audience.

Tempreon's answer:

Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you — your context, your preferences, your judgment — 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 — 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.

Tempreon's answer:

• Model Context Protocol (MCP) over streamable HTTP — 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.