Most agent memory rots. JITMIND doesn't let it.

  ▸   Every fact carries a time signature — bi-temporal validity with 5 lifecycle axes
  ▸   Every retrieval is provenance-aware — BM25 + dense + graph fusion with personalized PageRank
  ▸   Every contradiction triggers a self-edit — ADD / UPDATE / DELETE / NOOP lifecycle ops

Built under a plan → search → integrate → reflect loop. Designed for assistants that stay correct across thousands of sessions and weeks of drift.

Most tools find issues. Structorium remembers them.

  ▸   Every scan builds on the last — persistent quality score with anti-gaming mechanics
  ▸   Every fix is measured — delta tracking across 30+ detectors, 28 languages
  ▸   Every regression is caught at the gate — new-code gate blocks PRs that lower the bar

An AI context layer gives reviewers exactly what they need. This isn't a linter — it's the operating system for codebase quality, built from the ground up for AI coding agents.

Long context isn't a config flag. It's a math problem.

  ▸   Sparse MoE — top-K expert routing keeps compute sparse while capacity stays dense
  ▸   RoPE+YaRN scaling — holds at 1M tokens without positional collapse
  ▸   Deterministic decode — same input, same output, every time
  ▸   KV-cache discipline — doesn't melt under load

Built for the moments when "just increase context_length" stops working. The architecture respects the math.

FOUR  ━  experimental systems pushing on the next set of primitives. Hand-built. Single-author. Public.

FOUR MORE  ━  lower-profile but each load-bearing. None of these are demos.

Reflective memory engine for dialogue agents. Hierarchical memory tiers fused with reflective compression and multi-modal embedding heads. Effectively-infinite recall, zero retrieval latency, 98% test coverage. The memory layer that makes assistants feel like they actually know you across sessions.

Continuous vector generation over K-token patches. Replaces token-by-token sampling with continuous heads (energy / diffusion / flow) operating on patches. Likelihood-free latent-space training scales semantic bandwidth past what autoregressive decoding can carry. Generation reframed as a continuous process, not a discrete one.

Multi-agent orchestration with neural cognitive-gap detection. Gateway → orchestrator → agent pod → LLM APIs, with a CKM (cognitive knowledge model) tracking every participant's mental state. An RL policy detects and closes cognitive gaps before consensus drifts. The conductor that keeps a pod of agents on the same page.

Geometric residual networks with learned forget · erase · reflect. Standard residuals accumulate signal indefinitely, drowning what matters. OUROBOROS prunes representational noise at the spectral level under learned control, keeping deep networks honest. Networks that forget on purpose.

THREE LAYERS. ONE STACK.  ━  how the primitives compose into a single runtime.

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flowchart LR
  subgraph MEMORY[**MEMORY LAYER**]
    direction TB
    JITMIND[<b>JITMIND</b><br/><sub>bi-temporal</sub>]
    AIME[<b>AIME</b><br/><sub>evolutionary</sub>]
    MEMORIA[<b>MEMORIA</b><br/><sub>reflective</sub>]
  end
  subgraph REASONING[**REASONING LAYER**]
    direction TB
    SYNAPTIC[<b>SYNAPTIC</b><br/><sub>50,000× fewer params</sub>]
    INFINICHUNK[<b>INFINICHUNK</b><br/><sub>O&#40;N&#41; CoT</sub>]
    MOE[<b>MoE-Xtend</b><br/><sub>1M context</sub>]
    CADENCE[<b>Cadence-AI</b><br/><sub>latent-space</sub>]
  end
  subgraph RUNTIME[**RUNTIME LAYER**]
    direction TB
    STRUCTORIUM[<b>STRUCTORIUM</b><br/><sub>codebase OS</sub>]
    BLUEPRINT[<b>BLUEPRINT</b><br/><sub>NL → repo · $2–4</sub>]
    SYNC[<b>SYNC</b><br/><sub>agent orch.</sub>]
    OUROBOROS[<b>OUROBOROS</b><br/><sub>spectral control</sub>]
  end
  MEMORY ==>|grounds| REASONING
  REASONING ==>|powers| RUNTIME
  STRUCTORIUM -.gates.-> BLUEPRINT
  classDef def fill:#100a05,stroke:#FF8C42,stroke-width:1px,color:#fff0e0;
  class JITMIND,AIME,MEMORIA,SYNAPTIC,INFINICHUNK,MOE,CADENCE,STRUCTORIUM,BLUEPRINT,SYNC,OUROBOROS def;

FIVE AXIOMS  ━  the rules I build by.

  01  ━━  memory is not a feature, it's a substrate
  02  ━━  structure is the cheapest reasoning
  03  ━━  compute scales when the math respects it
  04  ━━  ship primitives, not products
  05  ━━  own the runtime or rent the era

TWENTY-SIX TOOLS. FOUR DOMAINS.  ━  the kit I build with.

_{github  ·  x}