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EchoKit – open-source voice AI agent framework

Hacker News

EchoKit – open-source voice AI agent framework

We built a voice AI agent in Rust. EchoKit server is an open-source framework that connects speech input, LLM reasoning, and speech output — so you can build local or hybrid voice assistants with real-time interaction. It's super easy to set up. Current features: 1. Supports both traditional ASR → LLM → TTS pipelines and end-to-end models like Gemini Live. 2. Voice Activity Detection (VAD) for low-latency, streaming voice input. 3. MCP support for external tools. 4. Works with both ESP32 hardware and web clients. 5. Streaming TTS output for GPT-Sovits Would love to hear what kind of projects people would build with this or any feedback.

Visit product View on Hacker NewsOct 28, 2025

Actual performance

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2comments

Did not reach leaderboard

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

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 · Strong signals: supports, gemini · Missing: reddit linkedin, podcasting, created

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% 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

38%38% 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

29%29% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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