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Starting today, a LangChain's Managed Deep Agent deploy provisions your Slack app for you 🤯 No manifest. No OAuth redirects. No bot tokens to copy around. One command, and your agent says 👋 in Slack.

28,436 次观看 • 1 个月前 •via X (Twitter)

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CopilotKit Open Sources Channels SDK: An MIT Licensed Library That Runs Any AG-UI Agent Inside Slack And Microsoft Teams No per-platform rewrite. No platform credentials in your agent process. No second agent to maintain. Here's how it works: 1. Describe once, render native One message description is lowered to a serializable intermediate representation, then rendered in each platform's own format. → Block Kit on Slack, Adaptive Cards on Teams 2. Your agent doesn't move It connects over AG-UI, so the model, tools and business logic stay where they are. → LangGraph, CrewAI, Mastra, Pydantic AI, Google ADK 3. The runtime owns the lifecycle There is no channel.start(). You await channels.ready(), so a broken config fails startup loudly instead of silently. → ready() · status() · stop() 4. The concurrency trap Turns default to "parallel", and only the managed adapter serializes same-thread deliveries. On a direct adapter, one shared agent instance means two runs corrupt each other. → "parallel" (default) · "serial" · "drop" 5. The numbers → 0.7.3, shipped August 4, MIT licensed → 5 adapters: /slack, /teams, /discord, /telegram, /whatsapp → Node.js 22+, ESM only, one long-running process → Slack and Teams GA; Discord and WhatsApp next The key takeaway: one agent, five adapters, and platform credentials that never touch your process. Every channel needs a CopilotKit Intelligence key — free tier included, no standalone path. Full analysis: GitHub Repo: Technical details: CopilotKit🪁

Marktechpost AI

42,673 次观看 • 2 个月前