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AionisVerifiable / Operable Memory Kernel

Audit-first memory infrastructure for production agents. Source-of-record writes, async derived pipelines, and policy-driven recall.

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API Contract
Operator Runbook

Audit-first

Every write is traceable by commit chain and source metadata, so memory behavior is replayable and reviewable.

Derived Async

Embedding, clustering, and rollups are asynchronous derivatives. Core writes stay non-blocking under model failures.

Memory -> Policy

Rules and feedback convert memory into executable behavior for planners, tool selectors, and governance gates.

Platform Snapshot ​

  • Open Core focus: single-tenant memory kernel with production-grade operability primitives.
  • Release artifacts:
  • Current release baseline:
    • Core: v0.1.2
    • TypeScript SDK: 0.1.4
    • Python SDK: 0.1.4
    • Standalone Docker line: standalone-v0.1.8
  • Hosted/internal execution docs live in private repo:

Evidence Playground ​

Adaptive Compression Estimator

Estimate context-token savings using Aionis budgeted compaction.

Baseline tokens/day26,400,000
Compressed tokens/day15,840,000
Saved tokens/month316,800,000
Estimated monthly savings$190.08

Suggested release gate thresholds are defined in Production Core Gate and Performance Baseline.

Recall Profile Explorer

Inspect server default recall profile budgets from runtime defaults.

Default production profile prioritizing precision and stable latency.

limit24
neighborhood_hops2
max_nodes60
max_edges80
ranked_limit140
min_edge_weight0.2
min_edge_confidence0.2

Canonical Narrative ​

  1. Main narrative: Verifiable / Operable Memory Kernel.
  2. Pillars: Audit-first, Derived async, Memory -> Policy.
  3. Release storyline template: Problem -> Architecture Principles -> Evidence -> Boundaries -> Next Step.

Primary references:

Evidence Gates ​

  1. Production Core Gate
  2. Performance Baseline
  3. Adaptive Compression Plan
  4. Operator Runbook

Role-Oriented Paths ​

Full public catalog: Docs Index

Aionis Open Core Documentation

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