今日已更新 201 条资讯 | 累计 34835 条内容
关于我们

标签：#t

找到 16572 篇相关文章

AI 资讯

How to Check If an Online JSON Formatter Uploads Your Data

Most developers have done this at least once. You get a messy API response. You need to inspect a JWT. You have a webhook payload, a log object, or a config file that is hard to read. So you open a JSON formatter, paste the content, and move on. That habit is convenient. But it also deserves a second look. Not every JSON tool behaves the same way. Some tools process your input entirely in the browser. Some send content to a server. Some store snippets for sharing. Some extensions have permissions that are broader than you expect. The problem is not that every online formatter is unsafe. The problem is that you often do not know what happens after you paste. What you should avoid pasting blindly Before using any random online tool, be careful with: production JWTs API responses containing user data logs from real systems config files webhook payloads database URLs cloud keys internal endpoints tenant IDs error traces from production systems A JSON payload does not need to contain an obvious password to be sensitive. Sometimes the risky part is context: user IDs, internal URLs, tokens, customer data, or system structure. A quick DevTools check You can do a basic check with your browser’s DevTools. Open the JSON tool. Open DevTools. Go to the Network tab. Clear existing requests. Paste a harmless test JSON first. Run format, validate, diff, decode, or whatever action the tool provides. Watch the Network tab. Look for POST, PUT, fetch, XHR, or beacon requests after your input. Inspect request payloads if they exist. Check whether your pasted JSON appears in any request. Do this with harmless test data first. If the tool uploads the test JSON, do not paste production content into it. What to look for A few signs deserve attention: POST requests after you paste or click format request bodies containing your JSON share-link features that save snippets server-side validation APIs analytics events that include pasted content extension background requests that are not clearly

2026-06-15 原文 →
AI 资讯

Connecting Hermes AI Agent to an MCP Gateway: Setup and Use Cases

Hermes AI Agent handles multi-step workflows well. The planning layer holds up. Memory across sessions works. What kept breaking down was the tool layer. Once a workflow touched three or four external systems, I was spending more time on auth configs, mismatched response formats, and per-tool retry logic than on the workflows themselves. I fixed this by routing all external tool calls through a unified MCP gateway. The agent logic stayed the same. The integration complexity moved into one place I could actually manage. This post walks through how that works, how to set it up, and where it is genuinely useful. How Hermes runs tasks Hermes is an open-source, self-hosted agent runtime from Nous Research, released in February 2026 under the MIT license. It runs persistently on your own infrastructure and executes goals as structured, stateful workflows. Four layers handle execution. The planning layer breaks a goal into sequenced steps and adjusts them as intermediate results come in The execution layer runs each step and fires tool calls when external data or action is needed The memory layer stores task state and session history in SQLite with FTS5, so context carries over across restarts The skills layer captures completed workflows as reusable documents retrieved on future tasks After a task finishes, Hermes writes a skill file with the procedure and known failure points, then stores it for retrieval next time a similar task runs. Tool execution is embedded in the runtime loop. External capabilities come through MCP-based interfaces, which is where the gateway plugs in. What breaks when integrations live inside the agent In a standard MCP setup, each client connects one-to-one with a specific MCP server. That works fine with two or three tools. With ten, it becomes a maintenance problem that grows with every tool you add. A task spanning a web search, a product API, and a SERP scraper means three separate auth setups, three response formats to parse, and three diffe

2026-06-15 原文 →
← 上一页 下一页 →