This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
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Summary
AI summaryAuraSDK adds a complete autonomous learning loop with structured experience capture and operator-controlled plasticity modes.
Full changelog
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 eventsingest_experience_batch()— queue experience for the maintenance pipelinePlasticityMode: 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 evidenceget_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_supportin recall explanations
Upgrade
pip install --upgrade aura-memory
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About teolex2020/AuraSDK
Persistent cognitive memory for Claude Desktop. Sub-ms recall, offline, encrypted.
Related context
Beta — feedback welcome: [email protected]