Addresses feedback from our Discord admin curating #config-showcase: the
existing docs land non-technical users straight into Tutorials, which
are script-first and TOML-heavy ("standalone script you can run
immediately, a TOML recipe, a detailed walkthrough"). For a curious-
but-non-technical reader trying to decide whether OpenJarvis is worth
their weekend, that's the wrong first contact — they bounce before they
ever see what the framework can do for them.
This PR inserts a new Showcase tier *above* Tutorials in the docs
information architecture. Each entry is outcome-first: hook sentence,
hero screenshot, 2-3 short paragraphs of personal context, then a
"How I set this up →" link that lands on the relevant Tutorial /
User Guide. The Showcase is the funnel; Tutorials are the build steps.
Five inaugural entries — drafted to be paste-ready for #config-showcase:
- showcase/morning-brief.md — Slack/email/GitHub overnight digest
- showcase/persistent-memory.md — SOUL.md/MEMORY.md/USER.md story
- showcase/cost-savings.md — the public leaderboard as motivation
- showcase/discord-companion.md — DM Jarvis from anywhere
- showcase/coding-assistant.md — code review on an airplane
Plus the contributor template and an assets directory:
- showcase/CONTRIBUTING.md — format skeleton + editorial conventions
(screenshot specs, what to redact, tone)
- assets/showcase/README.md — asset directory conventions
- assets/showcase/*.png — placeholder hero screenshots (1600x1000,
6 KB each, dark gradient) so the gallery
renders cleanly before community
submissions populate real screenshots
Information-architecture changes:
- mkdocs.yml — insert "Showcase" tier between Getting Started and
Tutorials. Funnel order is now: land → "what's possible?" → "build it."
- docs/index.md — new hero card directly under the tagline, pointing to
the Showcase. The research-framework framing stays, but no longer
occupies the first scroll-fold.
CSS:
- docs/stylesheets/extra.css — `.showcase-screenshot` class adds rounded
corners + subtle border so hero images (placeholder or real) read as
intentional rather than as broken-image artifacts.
Validation:
- `uv run mkdocs build` (CI mode) succeeds.
- `uv run mkdocs build --strict` produces zero showcase-specific
warnings. The 18 remaining strict-mode warnings are all pre-existing
on main (`desktop-auto-update.md`, `telemetry.md`, griffe parser
warnings on existing source, mkdocs_autorefs cross-reference issues).
Explicit non-goals (deferred to follow-up PRs in the showcase-tier
roadmap):
- `jarvis showcase` CLI for personal recaps (PR #2)
- Showcase-aligned recipes in `src/openjarvis/recipes/data/` so
"How I set this up →" links into 2-command installs (PR #2)
- Automated screenshot regeneration via Playwright on release tags (PR #3)
- Replacing placeholder PNGs with real screenshots — that happens
organically as community contributors and team members submit their
own setups (see CONTRIBUTING.md for the format)
Co-authored-by: krypticmouse <herumbshandilya123@gmail.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2.5 KiB
title, description
| title | description |
|---|---|
| Memory That Doesn't Reset | Tell Jarvis something once. It remembers — three months later, across every conversation |
🧠 Memory That Doesn't Reset — Jarvis actually knows me
I mentioned to Jarvis once, in a throwaway sentence in April, that I'm allergic to shellfish. In July, when I asked it to help me pick a restaurant for my partner's birthday, it volunteered "you'll want to filter for menus that have non-shellfish options" — without being reminded, in a totally different conversation, on a different topic.
That's not magic. The trick is that Jarvis writes to three plain markdown files in my home directory whenever it learns something worth remembering:
SOUL.md— how I want it to behave (tone, length, what to push back on)MEMORY.md— facts about me, my projects, my preferencesUSER.md— who I am: my role, my team, my context
Every new conversation starts by reading those three files. I can open them in any text editor. I can delete a line and the memory is gone. The whole thing is ~6 KB of markdown. No vector DB, no embedding cache, no opaque "personalization layer."
Why it's nice
- It's auditable. I can read what Jarvis "knows" about me in 30 seconds. Most personal-AI products literally can't tell you.
- It's portable. I keep my three files in iCloud Drive. When I set up Jarvis on a new machine, my memory comes with me — without re-onboarding.
- It compounds. After two weeks Jarvis stopped re-asking what my code style is. After six weeks it stopped re-asking who's on my team. The conversations get shorter because the context is already there.
- It can't drift. Vector retrieval can confidently surface the wrong "memory" and you'd never know. Plain markdown that I can read can't lie about what it contains.
How I set this up
→ User Guide: Agents explains the persistent-agent pattern, including how SOUL.md / MEMORY.md / USER.md are loaded at conversation start.
→ Tutorial: Deep Research Assistant uses the same persistent-memory primitive — a good place to see it in action with code.