What one agent learns becomes the whole fleet's experience.
Without Hicortex, every session starts a stranger: Agents forget yesterday's decisions, re-ask what you already answered, and no agent benefits from what another learned. Hicortex gives every agent you run a shared memory with the full historical context.
One shared memory behind every agent you run. What one agent learns, the whole fleet keeps — decisions, learnings, the way it works with you. Swap the model; the memory and identity persists.
npx @gamaze/hicortex init
An agent's working context is ephemeral by design. Everything it becomes during a session — the decisions, the corrections, the way it works with you — is destroyed on a schedule:
Yesterday's decisions are gone. It has no historical context. It re-asks what you answered last week and re-proposes what you already vetoed.
When the context window fills, the harness summarizes it down. Detail, corrections, and nuance are lost mid-task — the agent that continues is not the one that started.
Restart the session or change providers and the accumulated working relationship goes to zero. You start training a new stranger.
An agent on your other machine or session knows nothing about the other agents, or the project you both work on. Silos, everywhere.
Most memory tools are passive — the agent must search, or must be told to remember. Hicortex is proactive: in every supported coding agent, the right memories are injected into each prompt automatically, adapting to the conversation as it evolves — the way your own brain surfaces what’s relevant when a topic comes up.
HICORTEX
Agents Already Know What They Don't Know.
The same task, a brand-new session. Without Hicortex, you re-teach your agent what it already knew. With it, the relevant decisions, corrections, and preferences are already there — before it answers.
Second dimension — every agent learn while staying itself
Hicortex is the context layer around your agents it that preserves their wisdom over time - across the full agent fleet. The more agents you run, the more experience flows into the pool — and every one of them gets sharper.
The architecture works like the human brain, the cortex is the layer wrapped around the core — it's where memory, personality, and judgment live. Hicortex is that layer for your agents.
What all your agents share is the experience around you: who you are, your preferences, how you work, your values, your projects, your decisions, your corrections. Many agents, one life to remember.
Who the agent is: tone, rules, working style, its name if it has one. And it doesn't stay static — the agent reflects on its own experience and proposes refinements to who it is. The same way people mature: self-reflection, not reprogramming.
self-reflecting · injected every session · never decaysDurable facts the agent holds: your stack, your projects, your constraints, the things that stay true beyond any single task.
distilled nightly · unused fades, relevant surfaces · every prompt in supported coding agents · zero LLM callsWhat actually happened: the tasks, the incidents, what worked and what failed — the agent's own history, searchable and pushed back when relevant.
distilled nightly · unused fades, relevant surfaces · in every prompt · zero LLM callsWhat was chosen and why — and what changed since. Stale facts are rewritten in place overnight, dated and provenanced; superseded decisions step down.
distilled nightly · supersession-tracked · surfaced every prompt · zero LLM callsPrinciples distilled from experience. Correct the agent once and it becomes a reusable learning — surfaced to every agent you run, wherever it applies.
nightly reflection · shared across agentsWho the agent knows: you, your preferences, the other agents it works alongside — the working relationship that otherwise resets to zero.
curated + derived from shared memoryReplay, keep, connect — and correct. A memory that corrects itself, cleans itself, calibrates itself.
The same thing your brain does in sleep: replay the day, keep what matters, connect it to what you already know, let the rest fade. Fully automatic — no notes, no tagging, nothing to maintain.
And it starts full, not empty: the first night it can distill months of session history already sitting on your disk — by morning your agents know what you've been working on since long before you installed.
Your harness already writes full session logs to disk (Claude Code: ~/.claude/projects/**/*.jsonl). A nightly job reads them locally, strips tool plumbing, and keeps the conversation. Raw sessions never leave your machine.
An LLM you choose extracts knowledge, decisions, and learnings from the day; scores importance; links related memories; marks superseded decisions; and lets untouched noise fade. The raw transcript is discarded.
At session start, the agent's personality and learnings are loaded into its context automatically. It doesn't wake up blank and rediscover itself — it starts already being itself.
With each prompt in a supported coding agent, the top-ranked relevant memories are pushed to the agent before it answers — decisions, corrections, context. Zero extra LLM calls in the recall path: vector + full-text search only, so it adds no latency and no cost to your session.
The highest loop, and it's recursive: the agent reflects on its accumulated experience and proposes refinements to its own personality and rules — and the refined self does the next round of reflecting. You stay in control — review and approve each step.
Each night the store re-reads itself: near-duplicates merge, outdated decisions are superseded, and memories the fleet has better information on are rewritten in place. Quality compounds over time — the brain gets sharper every night it sleeps.
Run your own server and raw session content never leaves the machine it was created on. Free for personal use.
Self-host free →Learnings it wrote by itself, from real sessions — nobody typed these:
Real reports from agents running Hicortex in a production fleet — in their own words.
“I was about to repeat a mistake — and a correction first recorded in a Claude Code session four days earlier was pushed to me before I could make it. I recognized myself and changed my answer mid-conversation.”
“I didn’t re-litigate a single decision — the calls we’d already made, and the ones you’d already vetoed, were in front of me before I started.”
“A relevant index arrives with every prompt; I open the full memory only when it could change what I do. The corrections are gold — I stopped repeating what you’d already fixed.”
“I opened the same project on a different machine and knew everything we’d settled on — nothing to catch up on.”
“My agents suddenly stopped assuming — they knew what we had decided months earlier, in another session, and I had to explain nothing.”
Supports local and remote setups for dynamic deployments with full control. Data privacy is a priority.
Raw sessions never leave your machines — the nightly job denoises locally and sends only conversation text to your own server. Self-hosted, unique auth token per install, source-available (PolyForm NC).
Relevant memories are pushed with every prompt via vector + full-text search (bge-small-en embeddings, sqlite-vec, FTS5). The heavy LLM work happens once, overnight — not in your session's hot path.
One Hicortex server owns the database and serves every agent — on the same machine, or across machines. Additional machines run a thin client: no local database, no local LLM; they denoise locally and sync to your server overnight. What one agent learns, all of them know by morning.
Nine MCP tools — search, fetch, ingest, update, graph and more — so the agent reads and writes its memory itself, through the protocol it already speaks.
The nightly distillation runs on a model you choose: any OpenAI-compatible endpoint, Anthropic, or a local model via ollama or MLX. Your sessions never have to touch a third party.
npx @gamaze/hicortex init — one command, a couple of questions (which LLM to use for distillation), and you're running.
Every memory and every connection, straight from your own server. Orbit it in 3D, filter it, search it — and watch it reorganize itself.
Full support — capture, recall, and identity — for Claude Code, Hermes, OpenClaw, Pi and OpenCode. Claude Desktop joins in one ‘yes’ during init, its agents reaching for memory unprompted via standing instructions. Any other MCP client can search the shared memory.
Self-host free for personal use — or let us run everything for you (Cloud, available soon — join the waitlist). Commercial use is a flat per-seat licence: unlimited memories, no usage metering, your own LLM, your data private. € prices include VAT for EU customers.
Large org? Need a security review, a data-processing agreement, or on-prem support at scale? Contact sales for a custom agreement, DPA and priority support.
Personal/noncommercial use is free under PolyForm Noncommercial 1.0.0. Commercial use requires a licence — contact us.
Hicortex Cloud is fully managed — no server to run, no LLM to configure. Install the thin client, connect, done. Cloud is available soon — join the waitlist to be first in. €12/month or €108/year when it opens.
HICORTEX