Raw events
Chats, logs, tickets, case histories, research notes, agent actions, support interactions, risk timelines, and canon changes enter as scoped events.

PRMR Memory Core plugs into your system and helps it remember what matters as it grows, changes, and learns.
A controlled-alpha API layer for AI products, agents, tools, games, workflows, and platforms that need memory, context, and state to survive over time.
Storage remembers data. Retrieval finds data. PRMR preserves continuity.
Current evidence combines internal/local tests and controlled hosted API smoke. External validation and production hardening are separate future milestones.
Infrastructure
Infrastructure prints leverage.
Companies pay for APIs because they expect a return: faster development, lower cost, better products, stronger retention, and less time rebuilding the same layer from scratch.
PRMR Memory Core is being built as that kind of layer for memory and continuity.
Instead of every team building their own memory system, PRMR gives them a plug-in infrastructure layer that helps their product remember what matters as it evolves.
Layer Underneath
They build the app.
PRMR preserves the continuity underneath.
Infrastructure prints leverage. PRMR gives systems memory that compounds.
You build the product. PRMR preserves the continuity underneath.
The Problem
AI apps, SaaS tools, support systems, banks, research tools, education platforms, and companies can store huge amounts of information: logs, tickets, documents, chat history, vectors, summaries, case notes, transactions, and user events.
Storage alone does not tell a system what changed, what still matters, or what should be reviewed before the next action. That is the continuity gap PRMR Memory Core is built for.
Developers and companies can use PRMR beside their existing database, model, workflow, game, agent, or support system. It helps both AI and non-AI systems preserve useful state across time without pretending raw storage, retrieval, or summaries are enough on their own.
Continuity Lost
what changed
what stayed true
what became stale
what evidence matters
what should happen next
what should stay private
what needs human review
Consequences
memory bloat
stale context
repeated raw history dumps
weak reasoning
poor handovers
repeated mistakes
noisy decisions
potential human harm
The Solution
PRMR Memory Core is plug-in continuity infrastructure. Companies connect PRMR to their AI system or workflow using an API key, client ID, vault, and namespace.
They send messy event histories into PRMR. PRMR converts those histories into smaller continuity packets that preserve current state, what changed, what still matters, active signals, stale signals, what needs review, what should be remembered safely, what should not be blindly repeated, evidence, reconstruction state, public-safe explanation, least-harm action boundary, public/private reports.
PRMR gives AI systems a continuity layer outside the model. The current shell shows this backbone locally with synthetic/demo data only.
Chats, logs, tickets, case histories, research notes, agent actions, support interactions, risk timelines, and canon changes enter as scoped events.
The useful shape of change is compressed under the correct client, vault, and namespace.
Current state is rebuilt without replaying every old event into the next system.
Public-safe explanations and report previews can be produced without restricted diagnostics.
Clients can see keys, vaults, namespaces, usage, blocked requests, reports, and memory health.
Next steps stay proportionate and review-oriented, not final automated decisions.
API Flow
PRMR Memory Core does not replace your database, vector store, or AI model. It sits beside them as a continuity infrastructure layer, helping systems preserve what changed, what matters now, what became stale, and what should be reviewed next.
Applications send events into PRMR through scoped credentials. PRMR turns those events into continuity packets, reconstructable state, public-safe explanations, least-harm action boundaries, usage logs, and report outputs.
Controlled alpha access is limited because the protected core, keys, vaults, namespaces, reports, and dashboard state need manual review before any external tester receives scoped access. The protected core remains private while public pages show only safe product proof and boundaries.
A company or local alpha evaluator gets a scoped synthetic client record.
client_idOperator-approved keys authenticate requests; browsers never receive raw key material.
api_keyProjects, users, teams, or workflows stay separated by scope.
vault_id / namespaceYour app sends chats, logs, decisions, tickets, notes, agent actions, or approved timelines to PRMR.
/v1/events/ingestPRMR compresses what changed into scoped continuity state.
/v1/continuity/packetYour system asks what matters now without replaying every raw event.
/v1/memory/reconstructClients can review usage, blocked requests, report previews, and memory health in the local MVP dashboard.
/dashboardLocal Demo
The V0.53.1 replay pack shows AI agent memory continuity, customer support/user-history continuity, and fraud/risk continuity sandbox scenarios moving through the same controlled-alpha flow.
The point is practical: messy histories become smaller continuity packets that a system can retrieve as cleaner context before the next action.
Synthetic data only. Local controlled-alpha demo only.
Open Demo PageSynthetic agent context showing a remembered project preference across turns.
Synthetic support history showing a repeated issue without exposing restricted traces.
Synthetic risk-review continuity without accusation language or final decisions.
Internal Evidence
Current evidence combines internal/local tests and controlled hosted API smoke. External validation and production hardening are separate future milestones.
The visible evidence surface now groups benchmark categories into expandable rows. Version details are available on reveal so the homepage does not become a long version list.
V0.36 Trust Suite - PASS
V0.37 Realistic Memory Benchmark - PASS
V0.50 Whole Core Truth Gauntlet - PASS
Internal checks exercise whether PRMR can reconstruct useful current state from stored continuity evidence.
Internal/local reconstruction evidence only. Not real-world validation.
V0.41 Token Tax / Cost War - PASS
V0.41.2 Hard Token Tax / Cost War - PASS
V0.41.3 Hard Token Tax Integrity Audit - PASS
Internal checks compare continuity compression and token/cost behavior against heavier replay-style baselines.
Internal/local evidence only. Not external certification.
V0.38.1 Baseline War Anti-Leak - PASS
V0.38.2 Baseline War Integrity Audit - PASS
V0.46 Fraud Baseline War - PASS
Internal comparisons test PRMR against baseline approaches and guard against anti-leak or easy-row shortcuts.
Internal/local evidence only. Not external certification.
V0.37 Realistic Memory Benchmark - PASS
V0.39 Adversarial Memory Trial - PASS
V0.39.1 Adversarial Integrity + Fairness Audit - PASS
Internal trials use noisy or adversarial memory situations where raw storage alone can become misleading.
Internal/local evidence only. Not external certification.
V0.36.3 Security + Client Isolation - PASS
V0.43 Security Killbox - PASS
V0.52.2 Alpha API Sandbox Integrity - PASS
Internal checks show that local sandbox keys, vaults, ownership, and public/private report boundaries are enforced in controlled tests.
Internal/local evidence only. Not external security certification.
V0.52.0 Alpha API Contract - PASS
V0.52.1 Alpha API Sandbox - PASS
V0.52.2 Alpha API Sandbox Integrity - PASS
Internal checks cover the controlled-alpha API contract shape, local sandbox behavior, key rotation, revocation, ownership, and usage boundaries.
Local sandbox evidence only. Not a hosted API.
V0.45 Fraud Continuity Simulator - PASS
V0.46 Fraud Baseline War - PASS
V0.49 Fraud Track Master Gauntlet - PASS
Internal synthetic fraud/risk simulations test continuity reasoning as one proof domain, without final accusations or punitive decisions.
Synthetic/local evidence only. Not bank approval or real-world fraud validation.
V0.47 Fraud Explainability Report - PASS
V0.47.1 Explainability Integrity Audit - PASS
V0.47.2 Explainability Report Leak Scan - PASS
Internal checks test whether explanations stay consistent with continuity evidence and avoid leaking restricted details.
Internal/local evidence only. Not external certification.
V0.48 Human Harm Reduction Test - PASS
V0.48.1 Human Harm Integrity Audit - PASS
V0.48.2 Human Harm Report Leak Scan - PASS
Internal checks test review-oriented action boundaries and safer language around sensitive outcomes.
Internal/local evidence only. Not external certification.
V0.50 Whole Core Truth Gauntlet - PASS
V0.52.2 Sandbox Integrity Audit - PASS
V0.54.8 Kimi Section Fidelity - PASS
Internal checks scan public outputs for restricted terms, private trace leakage, and claim-safety issues.
Internal/local evidence only. Not external certification.
V0.50 Whole Core Truth Gauntlet - PASS
The repo-level internal truth gauntlet reruns discovered run/audit scripts and checks for stale reports, fake passes, private-term leaks, and obvious forced-pass patterns.
Internal repo truth lock only. Not production certification.
V0.53 Local Live Demo Harness - PASS
V0.53.1 Demo Replay Pack - PASS
Local synthetic demos show the controlled-alpha flow for agent memory, support history, and fraud/risk continuity examples.
Local demo evidence only. Synthetic/demo data only.
Capabilities
Normalise and stream events into the PRMR pipeline.

Compress what changed into a smaller continuity state.

Rebuild the current state from continuity rather than replaying everything.

Separate what still matters from what should no longer dominate the next step.

Track which signals support the current state and which require review.

Generate explanations that avoid private internals and accusation-heavy language.

Suggest review-oriented next actions without final punitive decisions.

Separate public-safe summaries from private diagnostic detail.

Architecture
Traditional systems can keep records while losing transformation. PRMR keeps a smaller, safer continuity layer: current state, active signals, stale signals, review boundaries, and public-safe explanation surfaces.
Use Cases

Preserve cross-session state so agents can continue from cleaner continuity context instead of raw history dumps.

Carry active follow-up state, prior user updates, and stale notes across teams.

Separate users, projects, and client scopes through vaults and namespaces.

Track what changed in learner progress without stuffing every old interaction into the next prompt.

Preserve case state, evidence boundaries, decisions, and notes that need review.

Review synthetic risk timelines through continuity language without certain-guilt claims.

Remember worldbuilding changes, canon updates, and stale plot assumptions across long projects.

Give teams compact continuity packets for project management, robotics, operations, and decision handoffs.
Controlled Alpha
Controlled alpha requests are reviewed manually. Approved evaluators can discuss a demo, request scoped sandbox access, or explore a paid pilot path without receiving automatic credentials.
Free discovery / trial review first. Controlled Alpha API Pilot from £250.
Current evidence combines internal/local tests and controlled hosted API smoke. External validation and production hardening are separate future milestones.
Use synthetic, anonymised, or explicitly approved non-sensitive data only. Controlled alpha commercial pathway only. This is not self-serve production API access, full billing automation, compliance approval, legal approval, bank approval, external security certification, or real-world validation.