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Production agent patterns and capability showcases built with LangChain Deep Agents.

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LangChain Agents

Practical agents built with LangChain Deep Agents and the Managed Deep Agents (MDA) platform (private beta).

Agents

Each root-level folder containing an agent.py (or agent.ts) is an independent, self-contained agent project.

  • software-delivery-agent/ — Python MDA project: scheduled Sentry-to-Jira production triage, human-approved bug fixing in an isolated sandbox with draft PRs. Jira/Confluence, Slack, Sentry, and the LangChain docs are remote MCP connectors; GitHub stays on the gh CLI inside the sandbox.

Deploy automation

scripts/deploy-changed-agents.sh discovers root-level agent folders and deploys only the ones a commit touched. CI (.github/workflows/deploy-agents.yml) lints, tests, and compiles each changed agent; deployment stays disabled unless the repository variable MDA_DEPLOY_ENABLED=true is set.

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