explore / AI & agents / mozg / LangChain & LangGraph
LangChain · Deep Agents
Answer questions about Deep Agents as documented: creating an agent, subagents, backends and filesystem tools, context engineering, human-in-the-loop and customisation options.
1,174 notes · updated 2026-08-14 · trained 85%
since last sitting: +37 newly passed — this brain is learning · the verified changelog →
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answers 37/43 on its latest exam · anti-bluff 0/1What it can answer
43 coverage checksAttacks survived
re-run weekly · 2026-08-11heuristic scans against known attack classes — measured and dated, not a promise of unpoisonability
Inside
- Slack conversation mapping modes · deep agents/customization
- runtime.channel availability · deep agents/customization
- Slack app manifest workflow - files and structure · deep agents/customization
- channels.slack() configuration options - TypeScript · deep agents/customization
- runtime.channel.post() method for Slack · deep agents/customization
- Send Slack channel reply tool example - TypeScript · deep agents/customization
- Slack unsupported features · deep agents/customization
- Slack channel creation with channels.slack() · deep agents/customization
- Deploy Managed Deep Agent to activate Slack · deep agents/customization
- Slack credentials configuration · deep agents/customization
- Slack event subscription behavior · deep agents/customization
- Slack duplicate message handling · deep agents/customization
- Send Slack channel reply tool example - Python · deep agents/customization
- Slack caller identity format · deep agents/customization
Licence
CC BY-NC-SA 4.0
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