Intelligence shouldn't have an
expiration date.
Stop treating sessions like silos. Synaptik Core is a governed memory system that turns fragmented outputs into a persistent system of record.
Durable Memory
State that survives the session.
Transient context windows reset. Observations and inputs are converted into a persistent system of record, so intelligence compounds instead of evaporating after every prompt.
Causal Provenance
The "Why" behind the "What."
Every decision carries a replayable trace of the logic, constraints, and evidence that shaped it, turning "black box" outputs into governed, auditable artifacts.
Knowledge Accumulation
Build on prior decisions.
Your system never starts from scratch. Teams can enforce, replay, and layer new intelligence on top of hardened historical records, creating a flywheel of compounding system behavior.
Core Features
Four layers of accountability
Every write passes through a pipeline: policy enforcement, cryptographic signing, provenance tracking, and exportable proof.
Admission-Time Policy
Block unauthorized data before it enters memory. Policies are enforced at write-time, not after the fact.
Universal Data Ingestion
From Drive to Telegram to notebooks, every input becomes governed memory with provenance and deterministic recall. LLMs are optional.
Architectural Positioning
Layer separation
Synaptik Core integrates with these systems to provide deterministic, governed state at the runtime layer.
| Category | Synaptik Core | Agent Memory Layers mem0, Supermemory | LLM Agent Frameworks LangChain, AutoGPT, CrewAI | Vector Databases Pinecone, Weaviate, Chroma |
|---|---|---|---|---|
| Memory Model | Admission-governed, replayable cognitive state | Retrieval-augmented persistent memory | Ephemeral session memory + optional retrieval | External embedding store |
| Deterministic State Replay | Yes, from sealed lineage | No, retrieval-dependent | No, LLM outputs are non-deterministic | No, storage only |
| Governance Timing | Pre-admission governance (before state mutation) | Post-storage filtering or ranking | Post-generation checks, no control over state formation | Access control only |
| Cryptographic Lineage | Forward-secure cryptographic audit ledger | No | No | No |
| Artifact Lineage | Sealed, exportable decision state with full lineage | No exportable decision state | Logs and traces only, no structured decision artifacts | Retrieval logs only, no decision-level lineage |
Synaptik Core
Memory Model
Admission-governed, replayable cognitive state
Deterministic State Replay
Yes, from sealed lineage
Governance Timing
Pre-admission governance (before state mutation)
Cryptographic Lineage
Forward-secure cryptographic audit ledger
Artifact Lineage
Sealed, exportable decision state with full lineage
Agent Memory Layers
mem0, Supermemory
Memory Model
Retrieval-augmented persistent memory
Deterministic State Replay
No, retrieval-dependent
Governance Timing
Post-storage filtering or ranking
Cryptographic Lineage
No
Artifact Lineage
No exportable decision state
LLM Agent Frameworks
LangChain, AutoGPT, CrewAI
Memory Model
Ephemeral session memory + optional retrieval
Deterministic State Replay
No, LLM outputs are non-deterministic
Governance Timing
Post-generation checks, no control over state formation
Cryptographic Lineage
No
Artifact Lineage
Logs and traces only, no structured decision artifacts
Vector Databases
Pinecone, Weaviate, Chroma
Memory Model
External embedding store
Deterministic State Replay
No, storage only
Governance Timing
Access control only
Cryptographic Lineage
No
Artifact Lineage
Retrieval logs only, no decision-level lineage
Integration point: Use these tools for orchestration, retrieval, and execution. Synaptik Core ensures every state mutation is policy-gated, cryptographically signed, and deterministically replayable.
Pricing
Hosted access first,
Hosted access first,
local control when it matters
Remote and Builder are hosted subscriptions. Enterprise Local is custom for local, self-hosted, and air-gapped deployments.
Remote
Starting at $40/mo
Hosted governed memory for individual developers and early systems.
- Desktop app (macOS & Linux)
- Managed remote workspace
- Custom contract authoring
- Public knowledge banks + request access
- 1 workspace, up to 500 memory entries
- Community support via Discord
Hosted SDK tier
Builder
Starting at $199/mo
Hosted governed memory for serious builders using SDK and knowledge-bank workflows.
- Everything in Remote
- Python & Node remote SDKs
- Organization and restricted knowledge banks
- Up to 20 workspaces, unlimited entries
- Priority support (24-hr SLA)
Enterprise Local
Custom
Custom local or self-hosted deployment for regulated environments.
- Everything in Builder
- Local, self-hosted, or air-gapped deployment
- SSO, RBAC & policy controls
- SOC 2-ready audit trails & evidence exports
- Custom limits, infrastructure, and onboarding
- Dedicated success manager & custom SLA
Actual pricing depends on integration scope, volume, and compliance requirements.
Frequently Asked Questions
Common questions about governed memory, data ownership, and getting started.
What is Synaptik Core?
Synaptik Core is a governed memory system for building verifiable intelligent systems. It externalizes reasoning from transient models into durable system state, allowing intelligence to accumulate from any source — whether it's an LLM, a deterministic script, or a human-in-the-loop. By enforcing policy at the admission boundary and preserving a causal trace of every input, Synaptik ensures that system behavior is not just generated, but governed, recorded, and replayable.
How does this differ from Chain of Thought (CoT) prompting?
Chain of Thought is ephemeral. It exists only within the model's transient context for a single turn. Once the session ends or the context window shifts, that reasoning is lost. Synaptik Core externalizes the chain. It captures the reasoning path, policy checks, and evidence as durable system state — moving "thinking" from a temporary text buffer into a permanent, verifiable ledger.
Does this replace the model's internal reasoning?
No, it governs and anchors it. While the model performs the computation, Synaptik Core enforces policy at the admission boundary, ensuring the model's reasoning stays within defined constraints and recording the causal trace of the output. Think of the model as the engine and Synaptik Core as the flight data recorder and governor.
Is Synaptik Core only for LLM-based systems?
No. Synaptik Core is model-agnostic and source-universal. While LLMs are powerful reasoning engines, they are only one type of participant. The Core can ingest and govern reasoning from deterministic systems (Python scripts, notebooks, SQL queries), human-in-the-loop inputs (manual overrides, policy approvals, expert observations), and external sensors (real-time data feeds and API webhooks). Each is treated as a first-class input, captured in the same causal trace as any LLM output.
Does this solve the model migration problem?
Yes. Because the reasoning (the "Why") and the state (the "What") are stored in Synaptik Core rather than the model's transient memory, you are never locked into a single provider. You can swap a GPT-4 for a specialized local model or a symbolic logic engine without losing your system's accumulated experience. The model is replaceable; the experience is permanent.
How is data kept secure?
Your data is encrypted at rest and in transit. Only you can access it. Each user gets their own isolated workspace with secure authentication. Every action creates a tamper-proof audit trail that can't be altered or deleted, giving you complete visibility and control over your data.
Can Synaptik Core run offline?
Yes. Synaptik Core is designed to work completely offline. No internet connection required. All memory operations and policy enforcement happen locally on your infrastructure, which is critical for air-gapped environments, regulated industries, and edge computing scenarios where connectivity isn't guaranteed.
How do I get started?
Request a demo to see how Synaptik Core governs memory with pre-mutation validation, branching timelines, replayable history, and full auditability. We’ll walk through your use case and recommend the right deployment model.
Make intelligence
permanent.
Sessions end. Reasoning shouldn't have to. Capture every policy gate, causal trace, and state transition in a verifiable ledger that compounds over time.
Trace ID: 0x8e44...fb21 POLICY VERIFIED
01
Admission Boundary
Ingested: Notebook_Analysis_v4.ipynb
Constraint Check: Identity_Auth + Data_Sovereignty_Lvl2 ... [PASS]
02
Causal Trace
reasoning_path: "Cross-referencing telemetry with mission_constraints_09. Found 12% delta in fuel efficiency. Proposing course correction 04-A."
03
Durable State Write
State Transition Committed to Ledger.
SIG: 3045022100ef2...57c1a0220265 (Cryptographically Signed)