Memory · Episodic

Agents remember what they did.

Every session captured with goal, outcome, valence, source. Eleven event types, four emotional valences, full provenance — the autobiography of your agent, queryable across time.

What's captured

A complete record, with structure.

An episode is more than a vector. It carries time, participants, emotional valence, source attribution, and an importance score — the metadata that makes recall meaningful.

Bi-temporal
Both when it happened and when you learned about it. Time-travel any query.
11 event types
Observation · Action · Reflection · Decision · Interaction · Error · Discovery · Insight · Plan · Outcome · Meta.
Source monitoring
Observed · inferred · imagined · reported · reconstructed. Always know how a memory entered the system.
Emotional valence
Positive · negative · neutral · mixed. Surfaces what mattered and what didn't.
Importance scoring
Computed from novelty + outcome + downstream impact. Low-importance memories decay; high-importance ones consolidate.
Auditable forgetting
Every deletion is justified, signed, and tamper-evident. GDPR delete-receipts cryptographically verified.
API

Write an episode in three lines.

The episodic API mirrors the conceptual model — `record()` writes, `recall()` queries, `decay()` ages, `consolidate()` promotes patterns into procedural memory.

record · recall · consolidatetypescript
import { Minds } from "@minds-sdk/typescript";

const minds = new Minds({ apiKey: process.env.MINDS_KEY });

// Record an episode
await minds.memory.episodic.record({
  agent: "alpha",
  scope: "Research",
  event: "decision",
  text: "Chose to investigate Q3 anomaly via channel-mix analysis",
  participants: ["alice@l1fe.ai", "alpha"],
  valence: "neutral",
  importance: 0.78,
  source: "inferred",
  validAt: "2026-10-01T14:22:00Z",
});

// Recall — filter by agent, time window, valence, source
const events = await minds.memory.episodic.recall({
  agent: "alpha",
  scope: "Research",
  timepoint: "2026-10-01",
  source: ["observed", "inferred"],
  topK: 20,
});

// Consolidate — promote recurring patterns to procedural memory
const routines = await minds.memory.episodic.consolidate({
  agent: "alpha",
  minOccurrences: 3,
});
Specs

What it costs, what it guarantees.

Limits
Capacity per agent
~100M episodes / 1TB
Episode write latency
<3ms P99
Filtered recall (topK=20)
<12ms P99
Concurrent writers
100K+
Compression
Zstd · ~40% on-disk savings
Guarantees
Durability
fsync per WAL commit
Isolation
snapshot · MVCC
Audit
BLAKE3 chain, Merkle-anchored
Encryption
AES-256-GCM per-namespace
Source attribution
5 levels, immutable

Capture every session.