Echokit_server Alternatives

echokit_server reviews and mentions

• Building an Open Source Voice AI Agent in Rust: November Devlog- Dynamic Prompts & Firmware UX
  1 project | dev.to | 4 Dec 2025

  GitHub: https://github.com/second-state/echokit_server

• Show HN: EchoKit – open-source voice agent (Rust on ESP32) with MCP support
  2 projects | news.ycombinator.com | 4 Dec 2025

  We built an open-source voice AI stack that runs entirely on Rust—from the embedded firmware on the ESP32 to the inference server.

  The project consists of two parts:

  Firmware (no_std / embedded Rust): Runs on ESP32-S3. Handles audio I/O, opus encoding, and WebSocket streaming.

  Server (Rust): Orchestrates VAD (Silero), ASR (Whisper), LLM (Llama/Groq), and TTS. It exposes an OpenAI-compatible API.

  We just pushed a November update to address some common pain points:

  Dynamic System Prompts: You can now hot-swap agent personas by pointing the server to a raw text URL (like from LLMs.txt), without recompiling or restarting.

  Model Context Protocol (MCP): The server now supports MCP for tool use. We added a client-side "wait" state so the device gives audio feedback ("Please wait...") while the LLM is executing tools, solving the "dead air" latency problem.

  Provisioning: Rewrote the Wi-Fi/WebSocket config flow to be a single step.

  Repo: https://github.com/second-state/echokit_server Docs: https://echokit.dev/docs/

• Show HN: EchoKit – open-source voice AI agent framework
  1 project | news.ycombinator.com | 28 Oct 2025
• Show HN: EchoKit – An open-source, ESP32-based AI voice agent with a Rust server
  1 project | news.ycombinator.com | 20 Oct 2025

  Have you wanted a voice AI agent that you could fully control, customize, and understand from the ground up—not just a black box.

  EchoKit is a DIY, open-source voice agent running on an ESP32-S3. The fun part is the server backend, which I wrote entirely in Rust to handle the AI pipeline (ASR, LLM, TTS).

  The stack is:

  Hardware: EchoKit board (ESP32-S3)

  Firmware: ESP-IDF

  Server: Rust (Actix Web/Tungstenite)

  AI: Customizable pipeline. The tutorial uses Groq for the Whisper, Llama 3, and TTS models, which makes the response time incredibly fast (usually just a few seconds for the full ASR->LLM->TTS roundtrip).

  It's designed to be easy for makers, students, or anyone curious about AI to build in just a few minutes. You can modify the system prompts, swap out models, or even add custom actions (Step 6 in the guide).

  The tutorial (linked) walks through assembly, flashing, and setting up the server. The server code is on GitHub (also linked).

  Happy to answer any questions. Would love to hear your thoughts and what you think we could build with this!

  Server Repo:https://github.com/second-state/echokit_server

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