EvoMind research

Governed cognition, published as a technical record.

SALT19 develops EvoMind as both software and a research program. The public record tracks the architecture, memory integrity, semantic state change, experience compounding, capability composition, and the validation evidence used to test those ideas.

Research boundary: EvoMind is an experimental AGI-oriented governed cognitive architecture under active validation. SALT19 does not present it as externally certified AGI or as proof of unrestricted general intelligence.

Publications & research objects

A growing technical trail around persistent, governed machine cognition.

Each item is listed by its deposited type and DOI. Public descriptions stay close to what the record is intended to establish rather than treating publication itself as capability proof.

Software · 6 Jun 2026

EvoMind: A Governed Cognitive Architecture for Autonomous Reasoning, Planning, Memory, and Desktop Agents

The public software record for EvoMind as a governed cognitive architecture spanning reasoning, planning, memory, and desktop-agent operation.

10.5281/zenodo.20580153
Other · architecture research object

EvoMind: A Governed Cognitive Architecture for Persistent, Verifiable, Experience-Driven Agentic Autonomy

A separately deposited architecture research object focused on persistence, verification, governed execution, and experience-driven agentic autonomy.

10.5281/zenodo.20580112
Working paper · 8 Jul 2026

Verified Semantic Transitions (VST): Belief-Gated State Change and Repair-Invariant Memory for Reliable Long-Horizon AI Agents

Introduces a research direction for belief-gated state transitions and repair-invariant memory so long-horizon agent state changes can remain explicit, inspectable, and resistant to silent corruption.

10.5281/zenodo.21270654
Preprint · 10 Aug 2026

Beyond Scale, Agents, and Embodiment: Governed Experience Compounding in EvoMind

Positions governed experience compounding as a systems hypothesis: persistent deployment experience can become reusable capability only when evidence, authorization, verification, and revocation remain explicit.

10.5281/zenodo.21881379
Working paper · 15 Aug 2026

From Intent to Verified Work Products

Documents governed semantic capability composition: interpreting user intent into required outcomes, resolving available capabilities, producing work products, and grounding the result in verification and artifact identity.

10.5281/zenodo.21957527
Research themes

The program is increasingly about integration, not isolated AI features.

EvoMind research asks how reasoning, state, memory, planning, action, verification, and learning can behave as one persistent governed system rather than as disconnected model calls.

01 · COGNITION

Persistent reasoning and state

Maintaining goals, beliefs, uncertainty, conversation context, and task state across longer-lived work.

02 · MEMORY

Memory integrity and semantic transition

Preserving useful experience without allowing repair, contradiction, or state mutation to silently rewrite what the system believes happened.

03 · PLANNING

Capability composition

Converting high-level goals into required outcomes and capability graphs while keeping planning separate from execution authority.

04 · GOVERNANCE

Authorized machine action

Separating cognition, permission, execution, verification, rollback, and audit so capability does not automatically imply authority.

05 · LEARNING

Governed experience compounding

Testing whether repeated success, recovery, correction, and bounded transfer can become reusable capability through explicit evidence and revocable promotion.

06 · DESKTOP INTELLIGENCE

Semantic action in real software

Moving beyond text generation into desktop environments where intent must bind to actual applications, controls, artifacts, and observable outcomes.

Emerging control architecture

From desired outcome to verified state.

Human goal
Persistent conversational cognition
Intent + required-outcome interpretation
Planning + capability graph
Semantic capability resolution
Governed admission and execution
Outcome verification + artifact identity
Memory, evidence, and bounded experience reuse
Research vs. evidence

Publication does not substitute for validation.

SALT19 separates architecture hypotheses from software demonstrations and internal acceptance evidence. A paper can define a mechanism or systems thesis; the validation record documents what has actually been exercised in the runtime.

Architecture claim → what the system is designed to do
Runtime demonstration → what was observed in a bounded case
Internal validation → what passed a defined acceptance condition
External benchmark → controlled comparative evidence
Open gap → what is not yet established
Claim boundary

AGI-oriented research, not an AGI certification.

EvoMind investigates AGI-relevant systems problems such as persistent cognition, autonomous reasoning, durable memory, planning, semantic capability composition, desktop action, verification, experience reuse, and governance. The current evidence remains bounded internal engineering evidence. It does not establish unrestricted transfer, universal task competence, independent external replication, or certified AGI.

Open questions and unresolved authority paths remain part of the published validation posture rather than being hidden behind a product label.