Real AI agent use cases, with sources and setup prompts

Run coding agents in workflows with shared memories and traces

SurfingAlpaca built Twine, a meta-harness with workflows, cross-agent memories and traces, after being unhappy with Conductor and Orca.

See pricing page1 hrAdvancedSource linked

Source

SurfingAlpaca on Hacker News · 2026-10-22 · Project link

Written in our own words. Credit to the original author. Link checked 2026-10-24.

What they did

SurfingAlpaca built Twine, a meta-harness with workflows, cross-agent memories and traces, after being unhappy with Conductor and Orca.

Result (as claimed)

Several agents share memory and leave traces you can review.

Tools they used

Twine

Cost: Pricing depends on the tools you pick; check each official pricing page.

Set it up

  1. Pick a contained repo or task

    Start on a branch or side project where mistakes are cheap.

  2. Install and configure

    Set up Twine. Read what it can run on your machine and limit permissions where possible.

  3. Run it on a real task

    Give it a well-scoped issue and let it work. Review the diff like any pull request.

  4. Add guardrails

    Keep tests and CI in the loop, and never let an agent push to main or touch production secrets unattended.

Copy the full setup prompt

Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.

You are helping me set up this AI use case end to end in Claude Code.

Goal: Run coding agents in workflows with shared memories and traces
What the original author did: SurfingAlpaca built Twine, a meta-harness with workflows, cross-agent memories and traces, after being unhappy with Conductor and Orca.
Reported result (as claimed by the author): Several agents share memory and leave traces you can review.
Source: https://news.ycombinator.com/item?id=50189550
Tools they used: Twine
Category: Dev & ops

Please:
1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like).
2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure.
3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data.
4. Finish with a checklist to run it again next time.

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Guides for this use case

How to use AI agents for Linux, servers and homelabs ยท How to run multiple coding agents together

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