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AI 资讯

Enterprise MCP Gateway Solutions: Providers, Alternatives, and Cost 💎

Your company uses six different AI providers. OpenAI for ChatGPT, Anthropic for Claude and Groq for speed critical inference. Each one has different API formats. Different authentication models. Different rate limits and costs. Different failure modes. Your application code has to know about all of them. Your security team has to audit requests across all of them. Your finance team has to track costs across all of them. Your compliance team has to ensure governance across all of them. Bifrost Gateway solves this by doing what HTTP gateways have done for decades: centralizing control . But for AI. 👀 What is an MCP gateway? Model Context Protocol (MCP) is an open standard that lets AI models discover and execute external tools at runtime filesystems, web search, databases, ticketing systems, and custom business logic instead of being limited to text generation. An MCP gateway sits between your applications (or external MCP clients like Claude Desktop and Cursor) and the upstream MCP servers. Instead of each client maintaining its own connections, credentials, and tool lists, the gateway: Aggregates tools from multiple MCP servers into one registry Applies governance : authentication, tool filtering, budgets, and rate limits Exposes a single endpoint that external MCP clients can connect to In Bifrost, this pattern is implemented in two complementary roles: Role What it does MCP Client Connects to external MCP servers via STDIO, HTTP, or SSE MCP Server (Gateway) Exposes aggregated tools at /mcp for Claude Desktop, Cursor, and other MCP-compatible clients Bifrost is both an AI gateway (routing LLM traffic to 20+ providers) and an MCP gateway (connecting to and exposing tool servers). The open-source gateway covers virtual keys, budgets, rate limits, routing, and MCP tool filtering. Bifrost Enterprise adds RBAC, SSO, audit logs, MCP Tool Groups, guardrails, clustering, and in-VPC deployment options. ⚙️ How does an MCP gateway work? Connection layer Each upstream MCP serv

2026-08-20 原文 →
AI 资讯

🎬 Reel Quick now has a live animated demo in the GitHub README

The demo gives a quick look at the workflow for creating short-form videos with trimming, stitching, text overlays, voice tools, themes, and transitions. Built with FastAPI, Next.js, Redis/ARQ, and FFmpeg. Repo: https://github.com/ronin1770/reel-quick OpenSource #Python #FastAPI #NextJS #FFmpeg #VideoAutomation #DeveloperTools #AI

2026-08-20 原文 →
开源项目

An open-source self-hosted network operations platform for ALE OmniSwitch environments

Hi everyone, I would like to introduce Portivo Control Center , an independent, open-source and self-hosted network operations platform designed for compatible Alcatel-Lucent Enterprise OmniSwitch environments. Portivo brings everyday switch management, troubleshooting and controlled automation into a single web-based workspace. Key capabilities include: Centralized switch inventory and live operational visibility Logical port-panel views with VLAN, PoE, media and link-state information Endpoint discovery using MAC, IP, hostname, UNP and VLAN evidence Integrated browser-based SSH terminal Controlled command preview and execution Multi-device jobs and reusable automation runbooks Fleet-wide read-only operational audits Role-based access control with Site and Group scope Audit history, reports and operational evidence SNMPv3 UPS monitoring and power-aware infrastructure visibility Backup, restore and administration tools Windows and Linux deployment support Portivo is intended to complement native CLI expertise, not replace it. The objective is to provide network operators with a safer and more consistent workflow for discovering, diagnosing, executing and documenting network changes. The platform is self-hosted, does not require agents on managed switches and can operate inside a protected management network. Switch operations use SSH, while supported UPS monitoring uses SNMPv3. The project is licensed under AGPL-3.0-only . Website: https://portivo.org/ Documentation: https://portivo.org/docs/ Roadmap and changelog: https://portivo.org/roadmap.html Source code: https://github.com/Donacgreece/Portivo I would genuinely appreciate feedback from network engineers, system administrators and anyone operating ALE OmniSwitch infrastructure. I am particularly interested in feedback about operational workflows, documentation, deployment and features that would be useful in real environments. Thank you for taking a look. submitted by /u/Psychological-Top938 [link] [留言]

2026-08-20 原文 →
AI 资讯

Presentation: Why Fetch When You Can Sync? Building Local-First Apps on a Sync Engine Architecture

James Arthur shares why sync is the next frontier in frontend architecture. He explains how extending reactivity to the server with Electric and TanStack DB replaces imperative fetching with declarative data bindings. Learn how query-driven sync and local optimistic updates enable engineering leaders to build insanely fast, collaborative, and agentic applications using their existing stack. By James Arthur

2026-08-20 原文 →
开发者

Designing CRM Workflows Like State Machines

Business workflows can look messy. A lead arrives from a website form. Someone contacts the customer. A follow-up is scheduled. A proposal is sent. The deal either moves forward or becomes inactive. But from a software design perspective, this process can be viewed in a much simpler way: A series of states and transitions. This is one reason CRM workflows can benefit from thinking like developers. Every Lead Has a State A lead is not just a row in a database. At any point in time, it has a current state. For example: NEW ↓ CONTACTED ↓ QUALIFIED ↓ PROPOSAL_SENT ↓ NEGOTIATION ↓ WON / LOST Each transition should represent a meaningful business event. This structure makes the workflow easier to understand and reduces ambiguity. Avoid Undefined Transitions Problems appear when teams can move records anywhere without clear rules. For example: NEW → WON Is that valid? Sometimes, maybe. But if a transition skips important steps, the system may lose useful context. A better workflow defines which transitions are expected: NEW → CONTACTED CONTACTED → QUALIFIED QUALIFIED → PROPOSAL_SENT PROPOSAL_SENT → NEGOTIATION NEGOTIATION → WON NEGOTIATION → LOST This doesn't mean every business needs a rigid process. It means the system should make state changes understandable. Events Can Trigger Actions State changes can also trigger workflows. For example: Event: Lead Created ↓ Assign Owner ↓ Create Follow-Up Task ↓ Notify Sales Team Or: Event: Proposal Sent ↓ Schedule Follow-Up ↓ Set Reminder ↓ Track Response This is where workflow automation becomes useful. Instead of expecting users to remember every repetitive step, the system can handle predictable actions. Separate State From History Current state tells you where something is now. History tells you how it got there. For example: Current State: NEGOTIATION That alone is useful. But an event history gives more context: Aug 10 → Lead Created Aug 11 → First Contact Aug 13 → Qualified Aug 16 → Proposal Sent Aug 19 → Negotiation Started

2026-08-20 原文 →
AI 资讯

InfoQ Opens Enrollment for New AI-Assisted Engineering Online Certification Program

InfoQ has opened enrollment for the InfoQ Certified AI-Assisted Engineering Program, a five-week online certification program for senior engineers and architects who already run a coding agent against production code daily, where the open questions have moved past prompting into what the agent is allowed to touch and what catches its mistakes before a human does. By Artenisa Chatziou

2026-08-20 原文 →