workshop
AGENTS.md1.1k starsChanged 18 days agoMITView on GitHub
Read this first to decide what the user actually wants. Just run the one-liner: That installs the raindrop CLI. Then raindrop workshop starts the UI. Do not clone this repo or bun install for this. Building from source is only for developing Workshop itself. Hosted observability instead? raindrop cloud setup connects to app.raindrop.ai (no local daemon). Build from source: See .devin/blueprint.yml and .cursor/README.md for full dev-environment setup. Before creating a PR, run and confirm: For UI changes: visually verify changed…
- Pipes a download into a shell
Trending
Quiet since September.thin dataabout the whole repository
Who's talking about raindrop-ai/workshop
- A Hacker News story“Raindrop Workshop: Local OSS agent debugger”Hacker News · May 19, 2026 · 9 points
- A Hacker News story“Raindrop – Local Agent Debugger”Hacker News · May 14, 2026 · 3 points
- @mikedemo.bsky.social“In cloud infra we've always known: observability is foundational. AI agents fail quietly. Guardrails are a …”Bluesky · Sep 23, 2026 · 1 likes
- bmshin94/workshop“docs: Raindrop Workshop 한국어 분석 정리 문서 추가”GitHub · Sep 28, 2026
- josephhaaga/dotfiles“Upstream: @raindrop-ai/opencode-plugin silently drops spans for several failure modes”GitHub · May 22, 2026
The biggest 5 of 7 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 7
Talked about on GitHub, Hacker News and Bluesky (7 times).
On GitHub · 4
- Sep 28, 2026docs: Raindrop Workshop 한국어 분석 정리 문서 추가 — bmshin94/workshop0 reactions
- May 22, 2026Upstream: @raindrop-ai/opencode-plugin silently drops spans for several failure modes — josephhaaga/dotfiles0 reactions
- May 19, 2026Package Raindrop CLI declaratively in the flake — sysarcher/nixos-ref0 reactions
- May 19, 2026Reduce number of prompts - inspiration from raindrop — braintrustdata/spark0 reactions
On Hacker News · 2
- May 19, 2026Raindrop Workshop: Local OSS agent debugger9 points · 6 comments
- May 14, 2026Raindrop – Local Agent Debugger3 points · 1 comment
On Bluesky · 1
- Sep 23, 2026In cloud infra we've always known: observability is foundational. AI agents fail quietly. Guardrails are a feature.… — @mikedemo.bsky.social1 likes and repost · 1 reply
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository2 other files it gives its agents.
- instrument-agentSkill
- setup-agent-replaySkill
The file
We split this AGENTS.md into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 3
Read this first to decide what the user actually wants.
- Very specific: line 15
Do not clone this repo or bun install for this.
- Distinctive: line 42
Every changed line must trace to the user's request.
- Distinctive: line 46
Before creating a PR, run and confirm:
- Distinctive: line 67
Keep a running memory of mistakes here.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agent guide
Read this first to decide what the user actually wants.
Did the user ask you to use Workshop? (the common case)
Just run the one-liner:
curl -fsSL https://raindrop.sh/install | bashThat installs the raindrop CLI. Then raindrop workshop starts the UI.
Do not clone this repo or bun install for this. Building from source is only for developing Workshop itself.
Hosted observability instead? raindrop cloud setup connects to app.raindrop.ai (no local daemon).
Did the user ask you to develop Workshop?
Build from source:
bun install
bun run dev # daemon on :5899, Vite UI on http://localhost:5900Commands
bun run build # build
bun run test # test
bun run lint # lint
bun x tsc --noEmit # typecheckSee .devin/blueprint.yml and .cursor/README.md for full dev-environment setup.
How to work
- Touch only what the task requires. Match existing style.
- Every changed line must trace to the user's request.
Verification (Definition of Done)
Before creating a PR, run and confirm:
bun run build # MUST exit 0
bun run test # MUST pass
bun run lint # MUST exit 0
bun x tsc --noEmit # MUST exit 0For UI changes: visually verify changed pages render correctly and check neighboring pages.
Then: review your diff — no unintended changes, no debug code, changes scoped to the task.
Do not touch (without explicit permission)
.github/workflows/— propose, don't apply- The
raindropCLI installer (https://raindrop.sh/install) - Publish/release configuration
Agent operating notes
- Keep a running memory of mistakes here. Add a concrete guardrail when you make a repeatable stumble.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

