OpenClaw + Gonka AI - affordable AI agents

OpenClaw is a framework for creating autonomous AI agents capable of performing complex tasks: research, coding, and business process automation. Agents operate in a "think → act → observe" loop, independently decomposing tasks and calling tools.

The main problem with autonomous agents is the cost. One agent can make 50-500 LLM calls per task. At OpenAI prices ($2.50-15/1M tokens), that is $5-50 per task. If an agent runs continuously, the monthly bill reaches thousands of dollars. This is the difference between a profitable and an unprofitable product.

JoinGonka Gateway reduces costs by 580x: $0.003/1M tokens. An agent that used to cost $50 per task now costs $0.086. This makes autonomous agents economically viable even for startups and indie developers.

Step 1: Get API Key

Go to gate.joingonka.ai/register.
Get a bonus of 10M free tokens.
Create an API key in Dashboard → API Keys (format: jg-xxx).

This bonus is enough for hundreds of agent runs - the economics are drastically different compared to OpenAI.

Step 2: Configure OpenClaw

OpenClaw works with the JoinGonka Gateway in OpenAI-compatible mode. The easiest way to set it up is using our one-command installer—it will automatically register the provider with the correct baseUrl and models, while backing up your current configuration:

npx @joingonka/setup --tool openclaw

This is the universal JoinGonka installer: without a flag—npx @joingonka/setup—it will prompt you to select a tool (Claude Code, OpenClaw, or Cline). The installer will ask for your API key (jg-…) and will carefully add only the JoinGonka provider without touching your other settings. Learn more: GitHub.

Manual setup (Plan B)

OpenClaw stores providers in ~/.openclaw/openclaw.json within the models.providers nested structure. Add the gonka provider in OpenAI mode (api: openai-completions, baseUrl with /v1):

{
  "models": {
    "providers": {
      "gonka": {
        "baseUrl": "https://gate.joingonka.ai/v1",
        "api": "openai-completions",
        "apiKey": "${GONKA_API_KEY}",
        "models": [
          { "id": "moonshotai/Kimi-K2.6", "name": "Kimi K2.6", "maxTokens": 8192 },
          { "id": "MiniMaxAI/MiniMax-M2.7", "name": "MiniMax M2.7", "maxTokens": 8192 }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": { "primary": "gonka/moonshotai/Kimi-K2.6" }
    }
  }
}

The key is not written to the file: apiKey references the ${GONKA_API_KEY} variable (OpenClaw resolves only ${...} syntax). The name is unique and does not conflict with OPENAI_* variables from other tools. Pass the key into the environment:

export GONKA_API_KEY=jg-your-key

Tool calling: Kimi K2.6 supports native tool calling—critically important for agent frameworks. The agent can trigger search, read files, execute code, and perform other tasks via the standard OpenAI function calling API.

Verification: launch a simple agent with the prompt "write a hello world in Python and explain the code". If the agent completes the task, the setup is successful.

Economics of Autonomous Agents

Autonomous agents are among the most token-intensive applications. One agent loop (prompt → tools → reflection) consumes 5-50K tokens. A complex task might require 50-500 loops. Let's compare the economics:

Scenario	Tokens per task	OpenAI GPT-5.5	JoinGonka Kimi K2.6	Savings
Simple task (10 loops)	~500K	$1.25 — $5.00	$0.0024	520x — 2,100x
Medium task (100 loops)	~5M	$12.50 — $50.00	$0.024	520x — 2,100x
Complex task (500 loops)	~25M	$62.50 — $250.00	$0.12	520x — 2,100x
Month of continuous work	~5B	$12,500 — $50,000	$24	520x — 2,100x

At OpenAI prices, autonomous agents are economically unviable for most tasks. At Gonka prices, an agent can work 24/7 for $24/month. This shifts the model: agents evolve from "expensive toys" into a working tool.

For business: if your product uses AI agents (customer support, data analysis, automation), switching to Gonka can reduce your costs by 99.81% — which means increasing margins or lowering prices for customers.

Limitations: The Kimi K2.6 context window is 200K tokens. For agents with very long histories (500+ loops), context summarization might be required. The maximum response length for each model is up to 8192 tokens (for all network models), which is sufficient for a typical agent loop (instruction + tool call).

OpenClaw + Gonka = autonomous AI agents for $24/month instead of $12,500+ with OpenAI. 520x savings makes agents profitable even for indie developers. Native tool calling in Kimi K2.6 ensures full compatibility.

← Claude Code + Gonka AI - LLM for the terminal OpenCode + Gonka AI - free AI for code →

Want to learn more?

Explore other sections or start earning GNK right now.

Get 10M free tokens →