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feat(agent-builder): add agent memory section (#1133)
## Overview <!-- Brief description of what documentation is being added/updated --> ## Type of change **Type:** [Replace with: New documentation page / Update existing documentation / Fix typo/bug/link/formatting / Remove outdated content / Other] ## Related issues/PRs <!-- Link to related issues, feature PRs, or discussions (if applicable) To automatically close an issue when this PR is merged, use closing keywords: - "closes #123" or "fixes #123" or "resolves #123" For regular references without auto-closing, just use: - "#123" or "See issue #123" Examples: - closes #456 (will auto-close issue #456 when PR is merged) - See #789 for context (will reference but not auto-close issue #789) --> - GitHub issue: - Feature PR: <!-- For LangChain employees, if applicable: --> - Linear issue: - Slack thread: ## Checklist <!-- Put an 'x' in all boxes that apply --> - [ ] I have read the [contributing guidelines](README.md) - [ ] I have tested my changes locally using `docs dev` - [ ] All code examples have been tested and work correctly - [ ] I have used **root relative** paths for internal links - [ ] I have updated navigation in `src/docs.json` if needed - I have gotten approval from the relevant reviewers - (Internal team members only / optional) I have created a preview deployment using the [Create Preview Branch workflow](https://github.com/langchain-ai/docs/actions/workflows/create-preview-branch.yml) ## Additional notes <!-- Any other information that would be helpful for reviewers -->
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src/langsmith/agent-builder.mdx

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@@ -10,6 +10,14 @@ Agent Builder is in private preview. Sign up for the waitlist [today](https://ww
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Agent Builder lets you turn natural-language ideas into production agents. It's powered by [deep-agents](https://github.com/langchain-ai/deepagents), and is not <Tooltip tip="Predetermined code paths that are designed to operate in a certain order.">workflow based</Tooltip>.
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## Memory and updates
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Agent Builder includes persistent agent memory and supports self-updates. This lets agents adapt over time and refine how they work without manual edits.
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- Persistent memory: Agents retain relevant information across runs to inform future decisions.
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- What can be updated: Tools (add, remove, or reconfigure), and instructions/system prompts.
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- Agents cannot modify their name, description, and/or triggers attached.
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## Triggers
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Triggers define when your agent should start running. You can connect your agent to external tools or time-based schedules, letting it respond automatically to messages, emails, or recurring events.

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