Smriti AI live dashboard

{% if dashboard.live_model.enabled %}Live Gemma 4 with external memory.{% else %}External memory for small models.{% endif %}

Inject facts, distract the model, inspect retrieved memories, trace graph facts, verify identity governance, and prove privacy deletion from one presentation-ready cockpit.

Run demo flow View benchmark evidence

Baseline recall {{ dashboard.major_results.baseline_recall }} Frozen Gemma 4, no memory

Smriti recall {{ dashboard.major_results.smriti_recall }} {{ dashboard.major_results.recall_lift }} over baseline

Broader rerun {{ dashboard.major_results.broader_delta }} {{ dashboard.major_results.historical_note }}

Training status Frozen {{ dashboard.training_status.detail }}

Capability map

Every upgrade, visible in one pass

The live UI exercises memory paths directly; the evidence table reads current Gemma 4 CSV artifacts.

{% for card in dashboard.feature_cards %}

{% endfor %}

Release and production readiness

Today’s hardening, visible

This panel surfaces the agent hardening layer, production-break suite, file audit, security acceptance, and release packaging state without exposing secrets or private memory.

Release target {{ dashboard.release.pypi_target }}

Open v{{ dashboard.release.version }} PyPI project

Production guard Fail closed

No fake/mock/tiny model, synthetic official benchmark, unsafe harness, secret leak, or cross-user memory path is allowed in production.

{% for card in dashboard.readiness.cards %}

{% endfor %}

{% for item in dashboard.readiness.fail_closed %} {{ item }} {% endfor %}

User ID Topic

Agentic harness evolution

Observable memory knobs

Active: {{ dashboard.harness.active_harness }}

Config: {{ dashboard.harness.config_path }}
Manifest: {{ dashboard.harness.manifest_path }}
Entries: {{ dashboard.harness.manifest_count }}
Registered: {{ dashboard.harness.registry|length }} harnesses
Production gate: {{ "passed" if dashboard.readiness.production_gates.passed else "review required" }}
Breaker suite: {{ dashboard.readiness.production_break.verdict or "missing" }}

Export report Compare with seed

{% for row in dashboard.harness.manifest %} {% else %} {% endfor %}

#	Component	Change	Status	Rollback
{{ row.index }}	{{ row.component }}	{{ row.previous_value }} -> {{ row.new_value }}	{{ row.status }}
No evolution entries yet. Run `python benchmarks/collect_evidence.py` then `python evolve_harness.py`.

Each automated or manual parameter change records before/after config snapshots, a reason, and predicted impact. The base model remains frozen.

{% for row in dashboard.harness.validation_rows %} {% else %} {% endfor %}

System	Recall	Precision@K	p50 ms	p95 ms	Token overhead	Delete
{{ row.system }}	{{ row.memory_recall_accuracy }}	{{ row.retrieval_precision_at_k }}	{{ row.p50_latency_ms }}	{{ row.p95_latency_ms }}	{{ row.token_overhead }}	{{ row.privacy_delete_passed }}
No validation table yet. Run quick evaluation.

Live memory flow

Inject, distract, recall

Ready

1 Inject 2 Distract 3 Recall 4 Inspect 5 Delete

Privacy and ops

Backend, deletion, API

Model mode: {{ dashboard.live_model.status }} / {{ dashboard.live_model.model }}
Device: {{ dashboard.live_model.device }}
Training: {{ dashboard.training_status.status }}
Release: {{ dashboard.release.pypi_target }}
PyPI: {{ dashboard.release.pypi_status }}
Guards: {{ dashboard.readiness.result_claims.valid and "claim provenance valid" or "claim provenance review" }}
Backend: {{ dashboard.backend.name }}
Storage: {{ dashboard.backend.storage }}
Encrypted: {{ "yes" if dashboard.backend.encrypted else "ready; set SMRITI_MEMORY_KEY" }}
Routes: {{ ", ".join(dashboard.api_routes) }}
HF repo: luciferai-devil/smriti-ai

Deletion clears the in-memory user store, durable backend record, and demo identity state.

{% if dashboard.public_demo %}

Public demo safety: do not enter real PII. Demo memory is automatically deleted after {{ dashboard.memory_ttl_seconds }} seconds of inactivity.

{% endif %}

Gemma 4 benchmark evidence

Saved comparison table

CSV-backed

{% for row in dashboard.benchmark_rows %} {% endfor %}

Config	Recall	Latency	Tokens
{{ row.configuration_label }}	{{ row.facts_recalled }}/3	{{ "%.0f" \| format(row.average_latency_s \| float * 1000) }} ms	{{ "%.1f" \| format(row.average_token_usage \| float) }}

Historical +31.2% is not claimed as current. Current broader-protocol rerun is shown separately in the README/model card.