TheSecondBrain.dev VS GraphPilot

TheSecondBrain.dev's answer

Most AI memory tools store your context on their servers. This one deploys into your own Cloudflare account, so the memory is yours in a literal sense: your database, your vectors, your billing. We can't read it because we never have it.

The other difference is recall:

• Semantic, not keyword. Ask by meaning, not by remembering what you called it.
• Multi-hop. Memories link to each other, so a query surfaces the reasoning behind a decision, not just the decision.
• Status-aware. Entries are marked canonical, draft or deprecated, so an agent knows which version of a fact to trust.
• Honest about conflicts. When two memories disagree it flags it for you instead of quietly picking a winner.

GraphPilot's answer:

GraphPilot reads your GraphQL schema and turns it into cache keys. It adds the key fields each query needs, removes them from the response again, and tags every cached response with the objects it contains. When a mutation returns a changed object, GraphPilot purges the responses that contain it, without hand-written cache tags or short TTLs as a safety net. You can see each purge, with its reason, in the Cockpit.

TheSecondBrain.dev's answer

It works everywhere you work. Claude, ChatGPT, Cursor, Windsurf, Codex, any MCP client. Most memory tools only remember what happened inside their own app, so you end up with three AI tools holding three different versions of you.

You own the deployment. One-click deploy to Cloudflare, or a signed desktop installer if you'd rather not touch a terminal. Typical personal use sits inside Cloudflare's free tier, so there's no subscription to cancel and no vendor to migrate off later.

It's open source. MIT licensed. Read the code, fork it, extend it. Nothing about how your memory is stored or retrieved is a black box.

GraphPilot's answer:

Choose GraphPilot if you want caching that is driven by your schema and invalidation you can verify. Setup is a config file plus your schema, and you are live in minutes. It works with Apollo Server, GraphQL Yoga, PostGraphile and federation routers, and it also caches plain HTTP APIs. It runs on Fastly's global edge network, is built and operated in Germany, and has a free plan (Glider) so you can test it on real traffic before you pay.

TheSecondBrain.dev's answer

People who already live in these tools. They have an Obsidian vault or a Notion workspace, they're in Claude or ChatGPT every day, and some of them are in Cursor too. They're not casual users and they're not necessarily developers. They've built a system, and they've noticed the system doesn't talk to itself.

The shared frustration isn't "AI forgets." It's that a year of real thinking, hours of working through actual problems, hasn't left anything behind. Every conversation is good and then it's gone, and a month later they're figuring out the same thing from scratch.

They also tend to care where their work sits. Not privacy absolutists, just people who'd rather their own thinking accumulate in an account they control than in someone else's product they might have to leave.

GraphPilot's answer:

Engineering teams running GraphQL in production with read-heavy traffic: e-commerce, marketplaces, content platforms, SaaS dashboards and mobile app backends. Typically a platform or backend team that wants less origin load and lower latency without building and maintaining its own caching and invalidation layer.

TheSecondBrain.dev's answer

I was using Claude, ChatGPT and Cursor every day and re-explaining the same projects to each of them. A year of that adds up to nothing. The decisions I'd worked out in one tool simply didn't exist in the next one.

I built it for myself first, on Cloudflare because I already had an account and the free tier meant I could run it without thinking about cost. Then I open sourced it, and what people asked for shaped what it became. The desktop app exists because a user on Product Hunt asked for a path that didn't involve a terminal, and she was right to ask.

I still use it every day. Most of the roadmap comes from hitting the limits of my own memory layer.

GraphPilot's answer:

GraphPilot is built by Kay Schecker, a solo founder from Düsseldorf, Germany. Caching GraphQL at the edge is easy to start and hard to get right: most setups end up choosing between short TTLs and purging far too much. GraphPilot was built to use the schema itself as the source of truth for what a response contains, so invalidation can be precise. The slogan says it: "We fly the complexity so you don't have to."

TheSecondBrain.dev's answer

• Cloudflare Workers — runtime
• Cloudflare D1 — SQLite, entries and relationship graph
• Cloudflare Vectorize — embeddings and semantic recall
• Workers AI — embedding generation and synthesis
• TypeScript
• Model Context Protocol (MCP) — client integrations
• Tauri — Mac and Windows desktop app
• Wrangler + GitHub Actions — deploy and release

GraphPilot's answer:

The edge runtime is written in Rust and compiled to WebAssembly on Fastly Compute. The platform and API run on TypeScript and PostgreSQL, the Cockpit is built with React, and the CLI (gpilot) is a single Rust binary for macOS, Linux and Windows.

TheSecondBrain.dev's answer

• People who run Obsidian, Notion and several AI tools side by side
• Consultants, operators and independent professionals who think out loud with AI all day
• Writers, researchers and strategists whose best thinking currently lives in chat logs they can't search