Continual Learning
Train forever. Never forget.
Elastic Weight Consolidation, Synaptic Intelligence, Generative Replay, and Progressive Neural Networks — together — protect what your agent has learned while making room for new knowledge. Learning Quarantine sandboxes new facts until they pass verification.
Capabilities
What it does.
Every capability is production-grade. No flags, no betas — these ship the day you adopt Minds.
EWC
Elastic Weight Consolidation protects critical weights via the Fisher Information Matrix.
Synaptic Intelligence
Path-integral importance scoring complements EWC.
Generative Replay
Train on synthesized memories alongside new ones.
Progressive Nets
New tasks get new columns; old tasks stay frozen.
Learning Quarantine
New facts sandboxed until verification gates pass. Adversarial input cannot poison.
Belief-taint tracking
Untrusted sources cannot launder into Tier-1 recommendations.
API
A few lines is all it takes.
The SDK reflects the conceptual model directly. No glue code, no orchestrator, no learning curve beyond the data shape.
exampletypescript
await minds.continual.train({
task: "q3-anomaly-investigation",
data: trainingData,
method: "ewc",
fisherSamples: 200,
lambda: 0.4, // EWC regularization strength
quarantine: {
requireVerificationBy: ["evidence-checker", "consistency-checker"],
promoteAfter: "24h-stable",
},
});Specs
What it costs, what it guarantees.
Performance
- Methods
- EWC · SI · Replay · Progressive
- Eviction policies
- FIFO · LRU · Priority · Hybrid
- Checkpoint encryption
- AES-256-GCM
- Recovery
- full · selective · merge
- Quarantine tests
- 120
Guarantees
- Durability
- fsync per WAL commit
- Isolation
- MVCC · snapshot
- Audit
- BLAKE3 Merkle chain
- Encryption
- AES-256-GCM per-namespace
- Concurrency
- 100K+ ops/sec
Build it on Minds.
Start with the SDK. Ship in an afternoon. Run anywhere — Akasha Cloud, on-prem, or air-gapped.