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feat: add hippo-embed workflow + recurring embed step to daily-hippo-learn #28178

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Merged
pelikhan merged 3 commits into from
Apr 24, 2026
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feat: add hippo-embed workflow + recurring embed step to daily-hippo-learn #28178

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Initial plan
Copilot Apr 23, 2026
73799c6
feat: add hippo-embed workflow and embed step to daily-hippo-learn
Copilot Apr 23, 2026
9445fe0
fix: use GPU runner and install transformers as a step in hippo-embed
Copilot Apr 24, 2026
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11 changes: 11 additions & 0 deletions .github/workflows/daily-hippo-learn.md
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Expand Up @@ -90,6 +90,17 @@ This runs the complete cycle: learn from commits, import any `MEMORY.md` files,
consolidate by applying decay, merge near-duplicates, and promote high-value lessons
to the global store.

## Step 2.5 — Refresh embeddings

Keep the vector index current so semantic recall stays sharp. Run after every sleep
cycle to embed any memories that were added or updated since the last embed pass:

```
mcpscripts-hippo args: "embed"
```
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Copilot AI Apr 24, 2026

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The new mcpscripts-hippo args: "embed" step will fail in this workflow because @xenova/transformers (required by hippo embed, per the PR description) is never installed here. Add a setup steps: entry (similar to hippo-embed.md) to install the dependency, and re-run the workflow compiler so the change is reflected in daily-hippo-learn.lock.yml (the lock file is what GitHub Actions executes).

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This is fast for incremental updates (only unembedded memories are processed).

## Step 3 — Recall top insights

Recall memories across these four lenses (run each separately):
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