{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2658",
  "slug": "deep-agents-package-long-running-harness",
  "title": "Deep Agents packages a harness for long-running tasks",
  "description": "LangChain's Deep Agents combines planning, files, memory, subagents, middleware, and backends for multi-step work.",
  "observed_at": "2026-07-10",
  "why_it_matters": "The reusable product is increasingly the operational harness around the model, not another prompt template or a single tool-calling loop.",
  "novelty": "notable",
  "verification_level": "source-linked",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2658,
  "telegram_url": "https://t.me/qwgai/2658",
  "topics": [
    "harness-engineering",
    "agent-loops",
    "orchestration"
  ],
  "entities": [
    "LangChain",
    "Deep Agents"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://academy.langchain.com/courses/foundation-introduction-to-deepagents"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/deep-agents-package-long-running-harness/",
    "markdown": "https://newruntime.com/signals/deep-agents-package-long-running-harness.md",
    "json": "https://newruntime.com/signals/deep-agents-package-long-running-harness.json"
  },
  "source_format": "telegram-export-normalized-json"
}