新增 memory 和 skill 存储，实现 Agent 持续学习，并增加工具支持；增加 LLM progress detail 输出

.opencode/tools/fetch_result_ref.ts

@@ -0,0 +1,41 @@
+import { tool } from "@opencode-ai/plugin";
+
+const internalBaseUrl = process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
+const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
+
+export default tool({
+  description:
+    "回读由 dynamic_http_call 生成的持久化 result_ref。适用于大结果只返回 preview 时，再按需读取完整或截断后的数据。",
+  args: {
+    reason: tool.schema
+      .string()
+      .describe("Why the stored result needs to be read for the current user request."),
+    result_ref: tool.schema.string().describe("The result_ref returned by dynamic_http_call."),
+    max_items: tool.schema
+      .number()
+      .int()
+      .positive()
+      .optional()
+      .describe("Optional maximum number of top-level items or fields to return."),
+  },
+  async execute(args, context) {
+    const response = await fetch(`${internalBaseUrl}/internal/tools/fetch-result-ref`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        "x-agent-internal-token": internalToken,
+      },
+      body: JSON.stringify({
+        sessionId: context.sessionID,
+        result_ref: args.result_ref,
+        max_items: args.max_items,
+      }),
+    });
+
+    const text = await response.text();
+    if (!response.ok) {
+      throw new Error(text);
+    }
+    return text;
+  },
+});