Ag

Agentctl – Terraform for your agent harnesses

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Agentctl – Terraform for your agent harnesses

Using several different cli tools like opencode, claude, agy - I have to setup them separately. But at least my experience is that I would like to have more or less the same setup between tools, just to use different models. Also would be good to have a simple way to store and sync this configuration between different machines. So I am experimenting with a tool that basically gives you Terraform-style management for agents. I know that many people would like if they all just use shared folder like ~/.agent(s), but for me it will never happen. It's like wait that GCP and AWS will unify API. So far It can manage skills, model setup, guardrails and more. Declaring globals that used between tools with ability to override them. Just experimenting with idea, not sure where will it go

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, apple
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: way, para · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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