Build integrated IS/BS/CF financial workbooks in Excel.
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RSI Phase 2: Learned proposals from model
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See how to installReview the instructions the agent will receive before you install.
Goal: Replace rule-based proposals with model-learned patterns validated by safety rails.
Current: Rule-only (CYCLE_SECONDS, max_tokens, imports, except, stale comments) Phase 2: Add learned proposals from 2B model with validation gates
Architecture: propose_improvement(target, content, model=None) runs rules ALWAYS, then learned proposals IF model provided and validated.
Safety: Pattern must exist in content, bindings must be preserved, kind must be in allowed set, reason must be non-empty.
RSI Phase 2 design: learned proposals from 2B model, validated by safety rails, optional integration with existing improve_once()
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Build integrated IS/BS/CF financial workbooks in Excel.
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Run and grow the OpenAmer Agent-to-Agent swarm: identity, trust, node-to-node ask, signed skill/insight sharing, and the autonomous self-learning loop.
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Use for A/B experiments on OpenAmer configs and skills.
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Roleplay a hostile user to find and triage UX pain points.
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Agent mesh: master/worker nodes, HTTP delegation, heartbeat.
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Use for agentic commerce payments tasks. Candidate synthesized from trend radar; awaiting trial promotion.
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