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update#344

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a0d00kc merged 1 commit intomainfrom
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Feb 19, 2026
Merged

update#344
a0d00kc merged 1 commit intomainfrom
develop

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@a0d00kc a0d00kc commented Feb 19, 2026

🔁 Pull Request Template – BharatMLStack

Please fill out the following sections to help us review your changes efficiently.

Context:

Give a brief overview of the motivation behind this change. Include any relevant discussion links (Slack, documents, tickets, etc.) that help reviewers understand the background and the issue being addressed.

Describe your changes:

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Testing:

Please describe how you tested the code. If manual tests were performed - please explain how. If automatic tests were added or existing ones cover the change - please explain how did you run them.

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  • I have reviewed my own changes?
  • Relevant or critical functionality is covered by tests?
  • Monitoring needs have been evaluated?
  • Any necessary documentation updates have been considered?

📂 Modules Affected

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  • docs (Documentation updates)
  • Other: ___________

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Summary by CodeRabbit

  • Documentation
    • Updated blog post on agent episodic memory with editorial revisions
    • Reframed memory paradigm to emphasize persistent context, retrieval, and knowledge integration
    • Enhanced descriptions of memory system capabilities and experimental methodologies
    • Improved narrative clarity throughout the article

@a0d00kc a0d00kc merged commit 3d86264 into main Feb 19, 2026
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coderabbitai bot commented Feb 19, 2026

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Walkthrough

Editorial updates to a blog post on episodic memory for agents. Content reframes agent memory from a vector database perspective to a broader memory paradigm discussion, updates characterizations of current memory approaches, and adjusts phrasing throughout (+4/-4 lines).

Changes

Cohort / File(s) Summary
Blog Content Update
docs-src/blog/bharatmlstack-history/episodic-memory-for-agents/index.md
Editorial revisions to introductory paragraphs reframing agent memory from vector database focus to broader persistent context, retrieval, and knowledge graphs paradigm. Updated descriptions of current memory limitations and experimental approach phrasing.

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