claude-flow

v3.20.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 23d AI Agents & Assistants

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agentic-ai agentic-framework agentic-workflow agents ai-agents ai-assistant

+14 more

ai-coding ai-skills autonomous-agents claude-code codex harness mcp-server multi-agent multi-agent-systems npm skills swarm swarm-intelligence typescript

Summary

AI summary

Checkpoint auto‑load lazily loads the newest model checkpoint on first use.

Full changelog

Native training pipeline gains real epochs-across-runs and closes the train→checkpoint→better-routing loop.

neural train --val-split <frac> — validation + early stopping (surfaces bestValLoss/earlyStopped)
neural train --resume <checkpoint> — continues from the restored epoch via ruvllm 2.6.0 resumeFrom() (degrades to 2.5.7 weight-restore)
Checkpoint auto-load — routing's lazy LoRA adapter loads the newest checkpoint on first adaptation use (off the startup hot path, kill-switch, non-fatal)
neural status shows latest checkpoint + age
@ruvector/ruvllm 2.6.0 (RuVector#638): checkpoint v2 metadata + geometry validation, true resumeFrom(), best-checkpoint retention; floors bumped >=2.6.0

Tests 12/12 · startup 0.08s (no regression) · PR #2557

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Deploy multi-agent swarms with coordinated workflows.

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