Bounded agent-facing skill bundles for coding agents and humans: reviewable execution workflows composed from reusable techniques.
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Updated
Apr 14, 2026 - Python
Bounded agent-facing skill bundles for coding agents and humans: reviewable execution workflows composed from reusable techniques.
Constitutional center of AoA: ecosystem identity, layer map, federation rules, and program-level direction.
Public canon of reusable engineering techniques for coding agents and humans: validation patterns, safety protocols, docs layouts, evaluation loops, and workflow primitives.
Memory and recall layer for AoA: explicit memory objects, provenance threads, temporal relevance, salience, and reviewable recall contracts.
Thin routing layer for AoA: explicit navigation, typing, dispatch hints, and derived cross-repo entry surfaces without replacing source truth.
Building local and hybrid AI systems, agent workflows, and long-horizon knowledge architectures through AoA and Tree of Sophia.
Portable evaluation bundles for agents and agent-shaped workflows: bounded, reproducible, regression-aware proof surfaces for quality claims.
Scenario and composition layer for AoA: explicit playbooks for recurring operations, multi-step skill composition, handoffs, fallback paths, and validation posture.
Role and persona layer for AoA: explicit agent profiles, role contracts, handoff rules, memory posture, and evaluation posture.
Knowledge substrate layer for AoA: provenance-aware derived structures, graph-ready projections, and framework-neutral retrieval surfaces built from source-first repositories.
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