A bridge from Copilot SDK to ACP agents

Hacker News

Hi HN! I built MeshAway to connect Copilot SDK apps to ACP-compatible agents like Gemini, Codex, Opencode, etc. There’s been some discussion around interoperability in this space (for example: https://github.com/github/copilot-sdk/issues/377 ). In practice, integrating across agent ecosystems still often means writing custom adapters or relying on different language-specific libraries in each project. MeshAway is a plug-and-play bridge that lets Copilot SDK communicate with ACP agents beyond Copilot CLI. The goal is to keep this layer minimal so developers can use different CLI agents without rewriting their stack. It also includes an optional web interface (hub) for debugging sessions and trying prompts in a playground. Curious if others are running into this fragmentation problem and how you’re approaching interoperability today. GitHub: https://github.com/offbeatport/meshaway Would love your thoughts!

Visit product View on Hacker NewsFeb 26, 2026

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

96%96% 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 · Strong signals: gemini, compatible · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, way · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, 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

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

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

24%24% 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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