Persistent Memory for ChatGPT Agents & GPT-4o

Function calling integration — JS/TS

Define AgentMind as a native GPT tool. The model decides when to save and recall on its own.

// 1. Define AgentMind as a function in your GPT agent
const tools = [{
  type: "function",
  function: {
    name: "save_memory",
    description: "Save important information to persistent memory that will be available in future sessions",
    parameters: {
      type: "object",
      properties: {
        key: { type: "string", description: "Unique identifier for this memory" },
        value: { type: "string", description: "The information to remember" },
        type: { type: "string", enum: ["preference", "context", "fact", "workflow"] }
      },
      required: ["key", "value"]
    }
  }
}, {
  type: "function",
  function: {
    name: "recall_memory",
    description: "Retrieve a previously saved memory",
    parameters: {
      type: "object",
      properties: { key: { type: "string" } },
      required: ["key"]
    }
  }
}];

// 2. Handle the tool calls
async function handleToolCall(name, args) {
  const AGENT_KEY = process.env.AGENTMIND_KEY;
  const headers = { "X-API-Key": AGENT_KEY, "Content-Type": "application/json" };

  if (name === "save_memory") {
    await fetch("https://agentmind.dev/api/ac/memory", {
      method: "POST", headers,
      body: JSON.stringify({ agent_key: AGENT_KEY, memory_key: args.key, memory_value: args.value, memory_type: args.type })
    });
    return { saved: true };
  }

  if (name === "recall_memory") {
    const res = await fetch(`https://agentmind.dev/api/ac/memory?agent_key=${AGENT_KEY}&memory_key=${args.key}`, { headers });
    const data = await res.json();
    return { value: data.memory?.memory_value || null };
  }
}