A CLI agent that runs code while it reasons (Subconscious and E2B)

Hacker News

I don’t believe agents should “think” without being allowed to check their work. So I built a CLI agent that can actually run code while it reasons. Subconscious handles the reasoning and tool-calling while actively pruning context as it goes, so the agent runs faster, costs less, and has more tokens available for complex tasks. Code runs in one of the fastest sandboxed environments available using E2B, keeping execution quick while your local machine stays clean, organized, and protected from prompt injection. The result feels less like a language model and more like working with a tool that can verify its own work, stay disciplined, and generate real reports and charts. Run it with: npx @subcon/e2b-cli If you care about reliable agents, CLIs, or running code safely without touching your local machine, this is worth a look. Especially if you are tired of deleting random .md files.

Visit product View on Hacker NewsJan 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, claude

98%98% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

21%21% 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 · Strong signals: active · Missing: arr, mrr, revenue

21%21% 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.

Correct prediction on native model

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