Episodic · What happened
Keep a history of conversations, decisions, and outcomes. Recall the last interaction with its time and source attached.
A conversation ends. The work continues. Minds gives your agent six kinds of memory for the experiences, sources, and routines it needs next—all in your dedicated Mind, powered by Akasha.
Memory
The details that make an answer yours deserve somewhere to stay.
I’ll keep that in mind.
A preference becomes a memory, together with the conversation it came from.
A customer preference, a troubleshooting routine, and an API key need different treatment. Each memory type gives your agent a useful way to store and retrieve a different part of its work.
Keep a history of conversations, decisions, and outcomes. Recall the last interaction with its time and source attached.
Save a useful routine as a sequence of steps. Your agent can return to the same playbook when the task comes around again.
Keep documents and files close to the work. Find them through searchable descriptions and metadata, then return to the original material.
Store credentials and other sensitive values in an encrypted vault, with access controls suited to their sensitivity.
Keep the current goal and useful context in focus. Temporary information fades as the work moves on.
Use an incomplete clue to recall a stored pattern. Useful when a signal resembles something your agent has encountered before.
Start with one useful detail. Through the HTTP tool adapter, your application can save a preference and recall it later. Separate memory interfaces cover experiences, procedures, resources, and protected values.
// Run server-side with credentials scoped to this Mind.
const endpoint = process.env.AKASHA_URL;
const capability = process.env.AKASHA_CAPABILITY;
if (!endpoint || !capability) throw new Error("Configure your Mind connection");
async function request(method: string, path: string, body?: unknown) {
const headers: Record<string, string> = {
"Content-Type": "application/json",
"x-akasha-capability": capability!,
};
if (process.env.AKASHA_TOKEN) {
headers.Authorization = "Bearer " + process.env.AKASHA_TOKEN;
}
const response = await fetch(new URL(path, endpoint), {
method, headers,
body: body === undefined ? undefined : JSON.stringify(body),
});
if (!response.ok) throw new Error("Mind request failed: " + response.status);
return response.json();
}
await request("POST", "/v1/mcp/tools/call", {
name: "remember",
arguments: {
content: "The team prefers a written summary before each review.",
memory_type: "episodic",
tags: ["review-preference"],
},
});
const recalled = await request("POST", "/v1/mcp/tools/call", {
name: "recall",
arguments: { query: "review preference", limit: 5 },
});
// Inspect recalled.is_error before using recalled.result.memories.Useful memory needs a source and a lifecycle. Akasha provides source tracking, configurable checks for incoming knowledge, and auditable forgetting that records the reason for a removal.
Start with the conversations, documents, and routines that matter to your work. Keep them in your own dedicated Mind.