docs(integrations): add engram integration

[Harshit (Harshitk-cp)]

Type of change

Type: New documentation page

Related issues/PRs

• GitHub issue: N/A
• Feature PR: N/A

Checklist

• I have read the contributing guidelines, including the language policy
• 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
• Not required — individual provider/retriever pages are auto-discovered and do not need a docs.json entry

Additional notes

Adds documentation for langchain-engram, a LangChain integration for Engram — cognitive memory infrastructure for AI agents.

Engram differs from simple vector stores by tracking calibrated confidence scores, detecting contradictions between beliefs, and managing memory lifecycle (decay, consolidation, tier promotion).

This PR adds one integration:

• EngramRetriever — BaseRetriever backed by Engram's hybrid vector + knowledge-graph recall, returning Document objects with confidence score, memory tier, and relevance metadata.

Package published at pip install langchain-engram. Tested against langchain-core 0.3.x and 1.x.

[github-actions]

Thanks for opening a docs PR, Harshit (@Harshitk-cp)! When it's ready for review, please add the relevant reviewers:

• @mdrxy (Python integrations)

[Harshit (Harshitk-cp)]

hey, Mason Daugherty (@mdrxy) I've added integration for Engram memory layer tool.
requesting you to review the PR