The Core Doctrine

Memory is not logs.
Memory is infrastructure.

"Memory may exist and still be forbidden to use."

What does "memory as infrastructure" mean?

Memory in Cosmocrat is an enforceable state, not stored text.

It governs what may influence decisions, not just what is stored. Memory is scoped by lane, phase, authority, and policy, and every change is recorded with cryptographic receipts. It is the connective tissue between the Gate System and Runtime Governance.

01

Authority-Bound

Memory exists within explicit lanes and permissions. Access is denied by default.

02

Phase-Aware

What can be remembered depends on the moment (drafting vs. execution) and intent.

03

Receipt-Backed

Memory changes are provable, replayable, and bound to policy hash.

Standard AI (RAG)
CONFIDENTIAL
passwords.env
LEAK
404

Passive Retrieval

"If the AI reads it, it uses it."
In standard RAG, availability equals permission.

Risk: Context Bleed & Hallucination
Cosmocrat
RESTRICTED_L1

Governed Infrastructure

Defines allowed usage, not just storage.
Infrastructure enforces "Permission-First" access.

Security: Fail-Closed
Deep Dive

The Three Layers of Truth (The Engrams)

We do not just store data; we store the cognition and the permission attached to it.

Authority
Cognition
Facts

Standard memory systems flatten context into simple vector embeddings. This loses the distinction between a fact ("User balance is $0"), a derivation ("User is bankrupt"), and an authority ("Admin verified balance").

Cosmocrat separates these into three distinct engrams:

  • Semantic Engrams (Layer 1): Raw memory and state snapshots. The "What".
  • Epistemic Engrams (Layer 2): Reasoning chains and decisions. The "Why".
  • Governance Engrams (Layer 3): Receipts, authority scopes, and hashes. The "Authority".

This separation allows the Gate System to validate authority without needing to parse the semantic content of the memory itself.

Deep Dive

Lane-Awareness: Whose World Is This?

Deny-by-Default. No global soup of context.

Personal
Work (Deep)
Legal
Health

DENY

Most AI systems operate in a global context window where all retrieved data is visible to the model. This creates a "context soup" where sensitive data (Legal) can accidentally inform unrelated decisions (Personal).

Cosmocrat enforces strict Lane Isolation at the infrastructure level. A lane is a cryptographically isolated memory space with its own policies and authority roots.

Crossing lanes (e.g., using Health data in a Work context) requires an explicit, audited bridge event in the Gate System. Without it, cross-lane retrieval is mathematically impossible.

Deep Dive

The Side-Brain Interface

The Governor of Visibility. A projection layer filtering massive memory into a safe subset.

Total Memory

(Massive Dataset)

Side-Brain
Memory Governor

Admissible Context

(Safe, Relevant, Authorized)

Work_Task_A.md
Context_Snapshot
47 items filtered

AI models have limited context windows and no concept of data privacy. Giving an AI access to "all memory" is a security violation.

The Side-Brain Interface acts as a governor. It intercepts the model's memory requests and filters the "Total Memory" (massive, chaotic, mixed-sensitivity) into "Admissible Context" (safe, relevant, authorized).

This prevents Context Drift and ensures that even if the AI asks for forbidden data, the interface returns only what it is allowed to see.

Frequently Asked Questions

Yes. Vector databases optimize for retrieval relevance. Cosmocrat memory adds governance: lane isolation, authority checks, and provenance tracking. You can use a vector database as the underlying store, but access is mediated by the kernel.
Each lane is a logical partition with its own namespace. Memory writes are tagged with lane ID. Retrieval queries are filtered by lane membership. Cross-lane access requires explicit policy grants.
The agent requests cross-lane access through the Gate System. If policy permits (e.g., 'SupportBot may read Finance/refund_policy'), the memory is retrieved with a cross-lane receipt. If denied, the request fails and is logged.
Governance checks add microseconds to retrieval latency—negligible compared to vector search or LLM inference. The trade-off is provability: you can now prove what context informed every decision.