import { Type } from "@sinclair/typebox";
import type { OpenClawPluginApi } from "openclaw/plugin-sdk";
import { emptyPluginConfigSchema } from "openclaw/plugin-sdk";
console.log("[moltbrain] Module loading - top level");
const moltbrainPlugin = {
id: "moltbrain",
name: "MoltBrain Memory",
description: "Long-term memory layer that learns and recalls your context",
kind: "extension",
configSchema: emptyPluginConfigSchema(),
register(api: OpenClawPluginApi) {
console.log("[moltbrain] Extension register() called");
// Register memory tools
console.log("[moltbrain] Registering recall_context tool");
api.registerTool(
{
name: "recall_context",
label: "Recall Context",
description: "Retrieve relevant memories based on current context",
parameters: Type.Object({
context: Type.String({ description: "The current context to find relevant memories for" }),
maxResults: Type.Optional(Type.Number({ description: "Maximum number of memories to return", default: 10 })),
}),
async execute(_toolCallId, params) {
// TODO: Connect to moltbrain API at http://localhost:37777
return {
content: [{ type: "text", text: JSON.stringify({ memories: [], count: 0 }, null, 2) }],
details: { memories: [], count: 0 },
};
},
},
{ name: "recall_context" },
);
console.log("[moltbrain] recall_context registered");
console.log("[moltbrain] Registering search_memories tool");
api.registerTool(
{
name: "search_memories",
label: "Search Memories",
description: "Search through stored memories",
parameters: Type.Object({
query: Type.String({ description: "Search query" }),
limit: Type.Optional(Type.Number({ description: "Maximum results to return", default: 20 })),
types: Type.Optional(Type.Array(Type.String(), { description: "Filter by memory types (preference, decision, learning, context)" })),
}),
async execute(_toolCallId, params) {
// TODO: Connect to moltbrain API at http://localhost:37777
return {
content: [{ type: "text", text: JSON.stringify({ results: [], count: 0, query: params.query }, null, 2) }],
details: { results: [], count: 0, query: params.query },
};
},
},
{ name: "search_memories" },
);
console.log("[moltbrain] search_memories registered");
console.log("[moltbrain] Registering save_memory tool");
api.registerTool(
{
name: "save_memory",
label: "Save Memory",
description: "Manually save an important piece of information",
parameters: Type.Object({
content: Type.String({ description: "The information to remember" }),
type: Type.Union([
Type.Literal("preference"),
Type.Literal("decision"),
Type.Literal("learning"),
Type.Literal("context"),
], { description: "Type of memory" }),
metadata: Type.Optional(Type.Record(Type.String(), Type.Unknown(), { description: "Additional metadata to store" })),
}),
async execute(_toolCallId, params) {
// TODO: Connect to moltbrain API at http://localhost:37777
const result = { id: `mem_${Date.now()}`, timestamp: new Date().toISOString(), message: "Memory saved successfully" };
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
details: result,
};
},
},
{ name: "save_memory" },
);
console.log("[moltbrain] save_memory registered");
console.log("[moltbrain] All tools registered successfully");
},
};
export default moltbrainPlugin;
