chore(release): 3.42.0 -> 3.42.4 — smart search score semantics fix (#3327/#3340)

Ships PR #3340 (fix(memory): preserve retrieval relevance in smart search
results): memory_search({smart:true}) was returning the RRF fusion score in
the `similarity` field instead of the underlying retrieval relevance;
`similarity` now carries the raw retrieval score, and the fused SmartRetrieval
ranking score is exposed separately as `rankingScore`.

Note: 3.42.1-3.42.3 were published to npm without matching version-bump
commits on main (no `chore(release)` commit, gitHead unset in npm metadata).
Verified via `v3.42.0`/`v3.42.1`/`v3.42.3` git tags: all are ancestors of this
commit, so 3.42.4 is a strict superset of what was previously published.

Co-Authored-By: RuFlo <ruv@ruv.net>
This commit is contained in:
ruv committed 2026-09-17 17:35:43 -04:00
1 parent 702d146178
commit e558f0c0fc
9 files changed
+53 -15

No files matched your search

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@@ -1,12 +1,12 @@
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+1 -1
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@@ -1,6 +1,6 @@
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@@ -21,6 +21,11 @@
**An agent meta-harness for Claude Code and Codex.**
[![RuFlo Explained — build an AI team that plans, remembers, tests, and improves](docs/assets/ruflo-explained/ch14.jpg)](docs/ruflo-explained.md)
**[📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves](docs/ruflo-explained.md)**
A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
</div>
> **Agent = Model + Harness.** The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. **Ruflo is the harness** — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate.
+1 -1
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@@ -1,6 +1,6 @@
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+5
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@@ -21,6 +21,11 @@
**An agent meta-harness for Claude Code and Codex.**
[![RuFlo Explained — build an AI team that plans, remembers, tests, and improves](docs/assets/ruflo-explained/ch14.jpg)](docs/ruflo-explained.md)
**[📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves](docs/ruflo-explained.md)**
A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
</div>
> **Agent = Model + Harness.** The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. **Ruflo is the harness** — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate.
+2 -2
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@@ -1,8 +1,8 @@
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+1 -1
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+34 -6
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'@metaharness/darwin':
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version: link:../memory
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'@claude-flow/shared':
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'@claude-flow/neural':
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'@ruvector/sona':
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@@ -552,7 +552,7 @@ importers:
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'@claude-flow/memory':
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version: link:../memory
version: 3.0.0-alpha.24(@types/node@20.19.27)(zod@3.25.76)
'@ruvector/learning-wasm':
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version: 0.1.29
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'@claude-flow/shared':
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os: [darwin, linux, win32]
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