AI Agents That Learn From Experience

Hippocortex is a deterministic memory layer that captures what your agents do, compiles patterns into reusable knowledge, and synthesizes context within token budgets. Three API calls. Zero LLM dependencies. Full provenance on every fact.

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Your Agents Have Amnesia

Zero Continuity

Your agent deployed a service yesterday. Today it starts from scratch — no memory of what worked, what failed, or why you made the choices you did. Every session is day one.

RAG Isn't Memory

Vector search finds similar text. It doesn't understand temporal order, causal relationships, or which information contradicts what came before. Retrieval ≠ understanding.

Token Budgets Burned

Without compression, agents dump entire conversation histories into the context window. 90% is noise. You're burning tokens on irrelevant context while missing the patterns that matter.

> agent.recall("deploy to staging")

→ Error: no memory found. Starting from scratch.

Three Functions. Complete Memory.

capture()

Record Everything

Messages, tool calls, file edits, commands — every interaction becomes a time-ordered episodic trace with full metadata. Automatic salience scoring filters noise. Dedup prevents redundancy. Zero configuration.

learn()

Extract Knowledge

The Memory Compiler mines episodes for patterns and promotes them across layers — task schemas from repeated procedures, failure playbooks from errors, causal chains from outcomes, decision policies from preferences. Every artifact backed by source evidence.

synthesize()

Assemble Context

Query all six memory layers simultaneously. Get compressed, provenance-tagged context optimized for your token budget. 60%+ compression over raw retrieval. Deterministic — same inputs, same outputs, every time.

See the full API →→

THE ARCHITECTURE

Six Layers of Intelligence

Not a flat store. A living memory system where each layer builds on the one below it. Episodic traces promote to semantic knowledge. Semantic facts link into graph structures. Graph patterns feed the compiler. Full provenance at every level.

Memory, Not Search

RAG retrieves documents. Hippocortex learns from experience. Here's what that difference looks like in practice.

Dimension

RAG / Vector DB

Hippocortex

Architecture

─Flat vector store

Six-layer: episodic → semantic → graph → compiled

Learning

─None — static after indexing

Continuous pattern mining from live experience

Contradictions

─Conflicting chunks coexist silently

Detection, quarantine, resolution

Provenance

─Embeddings are opaque

Every fact traceable to source evidence

Temporal Awareness

─Timestamp metadata at best

First-class temporal ordering across all layers

Context Quality

─Nearest-neighbor retrieval dumps

Budget-optimized synthesis, 60%+ compression

Determinism

─Probabilistic similarity scores

Same inputs → same outputs. Always.

LLM Dependency

─Requires embedding model

Zero internal LLM calls

See how it works →

THE NUMBERS

Tested. Measured. Shipped.

tests passing

0 failures

0%+

context compression

vs. raw retrieval

internal LLM calls

fully deterministic

< 0ms

capture latency

p99

100 tasks across 10 phasesAPIs frozen — no breaking changesGDPR-ready — hard deletion with tombstonesFull provenance on every artifact

Built across 100 engineering tasks over 10 development phases. Every layer independently tested. Every API frozen before release. This isn't a prototype with a landing page — it's infrastructure that shipped.

INTEGRATION

Working Memory in 10 Minutes

Install the SDK. Add three function calls. Your agent has persistent memory that learns from every session. Works with any framework — no rewrites required.

quick-start.ts

import { Hippocortex } from '@hippocortex/sdk';

const hx = new Hippocortex({ apiKey: 'hx_live_...' });

// Your agent does something
await hx.capture({
  type: 'message',
  sessionId: 'sess-1',
  payload: { role: 'user', content: 'Deploy payments to staging' }
});

// Learn from accumulated experience
await hx.learn();

// Next time: compressed context from real experience
const ctx = await hx.synthesize('deploy payments');
// → Procedures, failure warnings, preferences

OpenAI Agents SDKLangGraphCrewAIAutoGenCustom FrameworksPythonNode.js

Get Started — Free Full SDK Reference →→