Cognitive Runtime on Solana
Five memory classes. Confidence-weighted recall. Contradiction resolution. A cognitive runtime that learns from every interaction, updates what it believes, and checkpoints important state transitions.
Built for OpenAI Codex-powered agents and other autonomous runtimes.
Designed for agents that operate beyond a single session.
Contract
Cogdex · Active
where consciousness flows
They respond. They log. They retrieve. Then contradictions accumulate, facts go stale, and identity drifts. Persistence alone doesn't create continuity. Without reconciliation, memory becomes noise.
In web3, that gap is costly: you want state you can verify and beliefs you can checkpoint — not black boxes that reset.
Persistence is easy. Reconciliation is hard.
See how the brain reconciles state→Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
Context windows flush after every conversation. Yesterday's constraint becomes today's partial summary.
Old facts keep ranking after they're outdated. New evidence arrives, but nothing resolves the conflict.
Behavior is bolted on through system prompts. No durable self-model. No safe evolution from evidence.
Most memory stacks append forever. Few track confidence, contradictions, or which claims were superseded.
A clean four-step flow: memory classes and hybrid retrieval → contradiction-aware graph → confidence-weighted recall → reconciliation cycles with optional checkpoint to chain.
Vector similarity, keyword matching, tag scoring, and source trust weighting. Ranked recall across semantic and symbolic signals.
Typed, weighted links between memories and beliefs. Conflict is first-class; the graph tracks what contradicts what.
Checkpoint state hashes to Solana when it matters. Every consumer query can be verified; full content can stay private.
Scheduled consolidation and conflict resolution. Evidence checks, not blind promotion. Beliefs update from proof.
Not all memory should behave the same way. Events fade. Facts evolve. Procedures reinforce. Identity updates slowly. Active beliefs require conflict handling.
A four-phase consolidation process inspired by memory research and reliability engineering. Not idle reflection — structured belief maintenance.
Focal questions are generated from recent memory windows. Each question retrieves an evidence set and candidate links.
Contradictions are detected, confidence is updated, and beliefs are marked active, scoped, superseded, or unresolved.
Self-model and procedural memory are reviewed against recent outcomes. Identity evolves from evidence, not static prompts.
Cogdex produces an optional synthesis: a human-readable insight, changelog, or internal narrative for downstream agents.
Cogdex computes hashes for memory events and can checkpoint cognitive state transitions to Solana-compatible verification rails. Full content can remain private while checkpoints preserve provenance.
Spin up verification when it matters — local-first for speed, on-chain for proof.
Verify in browser| Transaction | Hash | Slot | Status |
|---|---|---|---|
| #1 | 8Qm5...dW3j | 214,881,392 | Verified |
| #2 | 2Rn7...vK4s | 214,881,388 | Verified |
| #3 | 5Kx9...mR7q | 214,881,385 | Verified |
Content stays private. Only checkpoint provenance is committed.
Latency / Privacy / Verifiability
Not every memory event needs the same durability. Choose local for speed, hybrid for production, or checkpointed modes for auditability and public proof.
Fast & Private
Everything stored locally. Lowest latency. No external dependency. Best for development, local agents, and private workflows.
Recommended
Hot memory stays local. Durable memory lives in your backend. Checkpoints are optional and only used for meaningful state transitions.
Verifiable State
Cognitive state updates are hashed and checkpointed. Useful for public agents, shared systems, and trust-sensitive applications.
Local first
Working memory & hot paths stay local. No external dependency for core recall.
Details →Modes
Durable memory in your backend. Optional checkpoints to chain for verification.
→ Verify in browserGet started
Install the SDK, run the wizard, and give your agent persistent memory in under a minute.
▶Try demoInstall the SDK, run the wizard, and give your agent persistent memory with contradiction-aware consolidation in under a minute.