ChatGPT forgets when the chat ends and can invent sources. Pith remembers everything you read, cites every claim — and feeds that knowledge into ChatGPT.
ChatGPT is a brilliant generalist: it reasons, drafts, codes and explains the world better than almost anything. But it doesn't know your reading list. It can't tell you what that report you saved in March actually said, and when pressed for citations it will sometimes fabricate a plausible-looking source. Pith is the opposite tool by design — a persistent, source-grounded memory of what YOU read. You bookmark, Pith builds a cited wiki where every claim links back to the original bookmark, and you can query it months later. The two aren't rivals: Pith feeds ChatGPT your cited knowledge over MCP, so ChatGPT can reason from your real sources instead of guessing.
Side by side
| Attribute | Pith | ChatGPT |
|---|---|---|
| Knowledge source | Your saved reading — the bookmarks, reports and articles you personally curated | Model training data plus optional live browsing; no awareness of what you've read |
| Persistence | Permanent, organised memory you build over months and years | Forgets after the chat; memory features store fragments, not your reading library |
| Citations | Every claim links to the exact source bookmark it came from | Can cite when browsing, but may invent or mis-attribute sources |
| Source of truth | A cited wiki you can audit and trust for client work | Confident prose with no guaranteed grounding in your material |
| Per-client knowledge | Separate shared knowledge spaces per client or engagement | One general assistant; no per-client source separation |
| Audio briefings | Audio and text briefings generated before client meetings | Can read text aloud, but not a briefing built from your sources |
| Retrieval months later | Ask 'what did I read on X' and get cited answers from your archive | Cannot recall what you read unless you paste it back in |
| Generation & reasoning | Not a generalist — focused on memory and citation | Excellent: drafting, analysis, brainstorming, coding, world knowledge |
| Works together | Feeds your cited knowledge to ChatGPT via MCP | Reads from Pith over MCP and reasons on your real sources |
| Hallucination risk on your facts | Answers grounded in your bookmarks; claims trace to a source | Can fabricate facts and citations when it lacks grounding |
| Data residency | Frankfurt, Germany (GDPR); your data is not used for training | OpenAI infrastructure, primarily US-based |
| Pricing | Flat per seat: Starter €15, Practice €35/seat | ChatGPT Plus around $20/user/month; usage-based via API |
| Best for | Consultants who need a trustworthy, cited memory of their reading | Open-ended thinking, drafting, reasoning and broad knowledge work |
When Pith wins
You need every claim citable for a client
Before a deliverable goes out, each statement has to trace to a real source. Pith builds a cited wiki where every claim links to the bookmark it came from, so you can show a client exactly where a number or quote originated. ChatGPT will write the paragraph beautifully, but it can't guarantee the citation underneath is real.
You want your own reading retrievable months later
That report you skimmed in March is gone from your head by June. Pith keeps it as durable, queryable memory — ask 'what did I read about EU AI Act enforcement' and get an answer cited back to your bookmarks. ChatGPT starts each chat blank and has no idea what you read.
You want ChatGPT to answer FROM your sources
You don't have to choose. Connect Pith to ChatGPT over MCP and it reasons on top of your cited reading memory instead of guessing. ChatGPT brings the drafting and reasoning; Pith brings the grounded, source-linked facts — best of both.
Where ChatGPT wins
Where ChatGPT wins
ChatGPT is the better tool whenever the job is open-ended generation rather than recall: drafting from scratch, structured reasoning, brainstorming, coding, explaining unfamiliar domains, and tapping a vast base of world knowledge. Pith is a memory layer, not a generalist assistant — it won't out-write or out-reason ChatGPT, and it isn't trying to. The honest split: use ChatGPT for thinking, use Pith for what you've actually read — and let Pith feed ChatGPT so it thinks from your real sources.
FAQ
Why not just use ChatGPT?
Because ChatGPT doesn't know your reading list and can invent sources. It's a superb generalist, but it can't tell you what you read three months ago or guarantee a citation is real. Pith is the persistent, cited memory of your reading — and it feeds ChatGPT, so you get both.
Does Pith use ChatGPT under the hood?
Pith uses LLMs to build summaries and the cited wiki, but the product itself is your memory layer, not a chatbot. The point isn't the model — it's the durable, source-grounded library only you have.
Can ChatGPT read my Pith knowledge?
Yes. Pith exposes your cited knowledge over MCP, so ChatGPT (and other MCP-capable assistants) can query it and answer from your real sources instead of guessing.
Does ChatGPT remember what I read?
No. ChatGPT forgets when the chat ends, and its memory features store small preferences and fragments — not your reading library. Pith is built specifically to remember what you read and keep it queryable.
Doesn't ChatGPT cite sources now?
It can cite when it browses, but it can also fabricate or mis-attribute citations, especially without live retrieval. In Pith every claim links to the exact bookmark it came from, so a client can verify the source.
Where is my data stored?
In Frankfurt, Germany, under GDPR. Your data is not used to train models. ChatGPT runs on OpenAI infrastructure, primarily in the US.
Should I use both Pith and ChatGPT?
Yes — that's the recommended setup. Use ChatGPT for drafting, reasoning and brainstorming, and let Pith feed it your cited reading memory over MCP so it answers from your real sources.
Can Pith do everything ChatGPT does?
No, and it doesn't try to. ChatGPT is far better at open-ended generation, reasoning and coding. Pith does one thing ChatGPT can't: be a trustworthy, cited memory of what you personally read.
What does Pith cost compared to ChatGPT?
Pith is flat per-seat — Starter €15, Practice €35/seat — so costs stay predictable across a team. ChatGPT Plus is around $20 per user per month, with usage-based pricing via the API. Many teams pay for both because they do different jobs.
Last reviewed: 5 June 2026 · CC BY 4.0 · cite freely with attribution to Pith.