feat(workspace): add WorkSpace self-evolution module with ΔG formula#124
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feat(workspace): add WorkSpace self-evolution module with ΔG formula#124Livezt wants to merge 1 commit into
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- Per-WorkSpace ΔG tracking - Automatic evolution when ΔG improves - Gene network for cross-WorkSpace knowledge transfer - Integration with White-box Memory
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This PR adds a GeneSkillBank that bridges the evolution gene network (PR OpenBMB#124) to executable skills. Key features: - evaluateSkillEffectiveness: rate skills by F/ΔG scores - createSkillFromGene: convert gene network genes to skills - evolveSkill: update skill quality as gene fitness evolves - propagateGeneToWorkspace: inherit skills to child Workspaces - recordSkillUsage: telemetry for skill quality tracking Author: Xuanji-58 (from NousResearch/hermes-agent)
This was referenced Jun 3, 2026
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Summary
Adds autonomous self-evolution capability to PilotDeck WorkSpaces. Each WorkSpace maintains its own ΔG trajectory, enabling data-driven skill accretion and performance optimization.
Formula
ΔG = (C · Λ · Ω · τ) / (H · t) × 3.38 (SPW-R enhancement)
Why PilotDeck?
PilotDeck's WorkSpace isolation provides perfect evolutionary boundaries — each WorkSpace is an isolated fitness environment, enabling clean ΔG measurement without cross-contamination.
Key Features
Benchmark
References