When to Use Hermit to Boost Your AI Agents in 2026

When is an adapter framework like Hermit the right choice for your business?

If you need to add memory, tools, and custom instructions to an AI agent without rewriting the entire base model, an adapter likeHermit

Block Unveils Dessa: a speech-first model for voice agents

Block has releasedDessa, a full-duplex speech-to-speech model trained exclusively on conversational audio. It runs locally on a MacBook Pro M4 and offers ultra-low latency, making it perfect for real-time virtual assistants. If your use case involves fully vocal interactions, Dessa can significantly reduce inference costs compared to large multimodal LLMs.

Infini-AI-Lab Releases Hermit: an open-source adapter for AI agents

Hermit is an Apache-2.0 framework that acts as an external layer, enabling you to integrate instructions, capabilities, memory, and tools without modifying the underlying model. This modular approach speeds up the development of custom AI agents and reduces the risk of model drift.

• Modular structure: add or remove capabilities at runtime.
• Compatible with any LLM: GPT-4, Claude, Gemma, etc.
• Zero-code integration with external services via REST adapters.
• Native support for persistent chat and function calling.

Here’s a quick example to get you started:

pip install hermit-adapter
from hermit import HermitAgent

agent = HermitAgent(model="gpt-4", tools=your_tool_list)
agent.add_instruction("You are a helpful financial advisor.")
agent.add_memory("user_id_123", {"balance": 5000})
response = agent.run("What can I invest in?")
print(response)

AssemblyAI-TTS-1: an affordable TTS API for voice agents

AssemblyAI has launchedAssemblyAI-TTS-1, a text-to-speech model that costs just $15 per 1M characters and supports unlimited concurrent requests. It’s ideal for businesses that need natural voice synthesis without the high costs of traditional services, especially when paired with speech-first models like Dessa.

Quick comparison: which technology fits your use case

Practical example: integrating Hermit into an existing agent

Suppose you already have an LLM for customer support. You can wrap it with Hermit to add a persistent memory system and a knowledge base retriever.

# Example integration into a FastAPI service
@app.post("/chat")
async def chat(request: ChatRequest):
    if not hasattr(agent, "user_memory"):
        agent.user_memory = {}
    user_id = request.user_id
    # Retrieve context from memory
    context = agent.user_memory.get(user_id, {})
    # Add document retriever
    docs = retriever.query(request.message)
    # Run agent with context + documents
    response = agent.run(
        message=request.message,
        memory=context,
        tools=[docs]
    )
    # Save new conversation
    agent.user_memory[user_id] = response.get("memory", {})
    return {"reply": response["text"]}

Quick API call for AssemblyAI-TTS-1

Converting text to audio is easy with a POST request. Here’s a Python snippet:

import requests, json

url = "https://api.assemblyai.com/v2/tts"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}
payload = {
    "text": "Hello, this is a voice synthesis generated by AssemblyAI.",
    "voice_id": "en_us_male",
    "speed": 1.0
}
resp = requests.post(url, headers=headers, data=json.dumps(payload))
print(resp.json()["audio_url"])

Checklist for choosing the right AI model in 2026

• â..."" Need voice-only interaction? Consider Dessa.
• â..."" Need to add memory, tools, or business logic? Use Hermit.
• â..."" Need low-cost voice synthesis? Choose AssemblyAI-TTS-1.
• â..."" Have budget constraints? Hermit is open source, AssemblyAI-TTS-1 is affordable.
• â..."" Need local deployment? Dessa runs on MacBook Pro M4.
• â..."" Want a modular infrastructure? Hermit lets you change components without rebuilding the agent.

2026 trends: what to expect in AI models for business

The AI landscape is shifting toward increasingly specialized solutions. Full-duplex speech-first models like Dessa reduce latency for voice agents, while open-source adapters like Hermit make it easier to create custom AI agents. Meanwhile, aggressive pricing like AssemblyAI-TTS-1’s makes voice synthesis accessible to startups and large enterprises alike. Stay updated on new releases and integrate the tools that best align with your business goals.

Conclusion

Choosing the right AI model in 2026 means aligning technology, cost, and specific use cases. If you need a highly responsive voice agent, Dass is the perfect foundation; if you need to integrate memory and tools, Hermit offers a flexible, open-source solution; and for voice synthesis, AssemblyAI-TTS-1 lets you add voice without breaking the bank. Use the checklist above to evaluate your options and start building AI solutions that grow with your business.