v1.5.4 — Autonomous Cognitive Plasticity

The biggest release since the cognitive stack launched.

AuraSDK now ships a complete autonomous learning loop: agents accumulate
structured experience from their own responses — locally, without fine-tuning,
without an LLM, with full operator audit trail.

What's new

Autonomous Cognitive Plasticity

• capture_experience() — observe model responses and extract structured events
• ingest_experience_batch() — queue experience for the maintenance pipeline
• PlasticityMode: Off / Observe / Limited / Full
• Anti-hallucination guards — generated claims capped, cannot overwrite recorded facts
• Plasticity risk scoring with auto-throttling
• purge_inference_records() / freeze_namespace_plasticity() — full operator control

Salience & Reflection

• mark_record_salience() — what matters persists longer, decays slower
• Maintenance-time reflection synthesis — bounded summaries of recurring patterns
• get_reflection_summaries() / get_latest_reflection_digest()

Contradiction Governance

• get_contradiction_clusters() — explicit grouping of conflicting evidence
• get_contradiction_review_queue() — prioritized operator review surface
• Unresolved-evidence markers in recall explanations

Production Integrity

• Concept layer now persists across restarts
• Belief reranking active by default (was Off)
• Concept partition cap — bounded maintenance cost on large corpora
• Startup validation and persistence manifest

Honest Answer Support

• Non-anthropomorphic phrasing hints for significance, uncertainty, contradiction
• Ready for agent / UI consumption via answer_support in recall explanations

Upgrade

pip install --upgrade aura-memory