ReasoningCore — Structured orchestration over ψ-memory
A trace-first orchestrator coordinating reasoning over Wave Based Semantic Memory. Supports dependency graphs, chronology and inspection-ready AI operations.
ReasoningCore
A trace-first reasoning engine designed for systems that require structure, continuity and inspection. ReasoningCore operates over wave-based semantic memory, coordinating plans, evidence and checks as explicit state transitions.
Designed to integrate with ResonanceDB (amplitude A and phase φ) and EchoThesis encodings — encode nuance, store with phase, reason through traces.
Trace-based by design
ReasoningCore represents reasoning as a sequence of explicit states. Each step captures the current plan, context, evidence and evaluation signals, allowing the process to remain legible as it evolves.
Orchestration model
State
S
t
=
{ goals, plan, memory, traces, policy, refs(A, φ) }
Scheduling
— dependency-aware execution of plan steps where possible.
Evaluation
— checks, counter-evidence and policy-driven transitions.
Retrieval
— phase-aware queries against ResonanceDB.
Structured, dependency-aware execution
Independent reasoning steps can proceed concurrently where dependencies allow, while explicit state snapshots preserve causal order and make revision possible.
Deployment options
Managed service
Operate ReasoningCore as a hosted control layer coordinating reasoning workflows over wave memory.
Private deployment
Deploy within your own infrastructure to retain control over data, traces and execution boundaries.
Integration APIs
Integrate reasoning workflows into existing systems without coupling to a specific model or agent framework.
Explore other modules in the ψ-stack: