Tunet Cognition - Arxis Modules and Agent Systems
Tunet Cognition / AI systems

Tunet Cognition. operational AI.

/// AI_STACK Tunet Cognition is where model behaviour becomes usable infrastructure: Arxis modules for memory, cache, and verified decoding, plus Agent Systems for workflows, integrations, execution layers, and skills.

A) ARXIS MODULES

Memory, cache, and verified decoding

Core packages that make model behaviour easier to inspect, constrain, benchmark, and reuse.

B) AGENT SYSTEMS

Execution layers and skills for reliable agents

Execution infrastructure for agents that need repeatable workflows, trusted hand-offs, reusable skills, and clear operating boundaries.

Cognition catalogue

Arxis modules, agent systems, and operational AI patterns.

Search the current Cognition work or switch between the two useful families: Arxis modules for model behaviour, and Agent Systems for execution.

Model intelligence

Foundational modules that improve how models remember, allocate, and decide.

Agent systems

Execution frameworks and skills that extend existing agents into reliable workflows.

adaptive-memory

Learned memory management

Predictive prefetching, adaptive compression, and intelligent caching for inference workloads.

OPEN PACKAGE →

pama-cache

Learned KV-cache allocation

Neural policy routing to keep, compress, or evict context under strict memory budgets.

OPEN PACKAGE →

verified-decoding

Differentiable constraints

Guides generation using learned world models and logit repair instead of rigid grammar masking.

OPEN PACKAGE →

arxis systems paper

Learned memory and constraint-aware decoding

A source-grounded systems paper connecting adaptive-memory, pama-cache, and verified-decoding into one operational AI thesis.

OPEN PAPER ->

agent-execution-layer

Reliable agent workflows

A growing execution layer for agent workflows, integrations, reusable skills, and reliable hand-offs between intelligent systems.

PLANNED

infraglyph

Cross-repository lineage for agents

A source-grounded whitepaper on making multi-surface software workflows explicit, local, and queryable by coding agents.

OPEN PAPER ->