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Adaptive Thinking. Built To Last.

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Build cognitive agents.
Ship autonomous systems. Start Here.

Everything you need to write Premise Language agents, integrate the GILs cognitive runtime, and deploy cognitive fleets via the Mind Server API — in one place.

Quick Start

Choose Your Entry Point

Three paths depending on what you’re building. Each leads directly to the right documentation and tooling.

For AI / Agent Developers

Write Your First Premise Agent

Learn the Premise Language syntax — define cognitive behavior, perception loops, memory access, and decision logic for your first autonomous agent.

Premise Code Docs

For Systems Engineers

Integrate GILs Into Your System

Connect the GILs cognitive runtime to your existing hardware or software stack — configure perception inputs, memory layers, and decision cycles.

GIL's Runtime Code

For DevOps / Platform Teams

Deploy a Fleet Using Mind Server

Register devices, assign cognitive profiles, monitor fleet health, and issue remote commands via the Mind Server REST and WebSocket APIs.

Mind Server API
Premise Language

What Cognitive Agent Code Actually Looks Like.

Premise is designed to express how an agent thinks — not just what it does. The syntax maps directly to cognitive concepts: perception, memory, goals, and action.

The example here defines a basic autonomous inspection agent — it perceives its environment, checks memory for known anomalies, deliberates on priority, and acts.

Premise Language Docs
Premise Language Code Sample
inspection_agent.premise
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1 // Inspection Agent — Premise Language
2 // Perceive → Remember → Deliberate → Act
3
4 agent InspectionAgent {
5
6 perceive {
7 sensor_feed = Camera.stream()
8 proximity = LiDAR.scan()
9 environment = Environment.read()
10 }
11
12 remember {
13 known_anomalies = Memory.episodic.load("anomalies")
14 last_inspection = Memory.semantic.get("last_run")
15 }
16
17 goals [
18 DetectAnomalies priority: 1,
19 LogInspectionData priority: 2,
20 ReportToFleet priority: 3
21 ]
22
23 deliberate {
24 if sensor_feed.anomaly_score > 0.85 {
25 escalate("HIGH", sensor_feed.location)
26 } else {
27 continue_patrol(proximity.next_waypoint)
28 }
29 }
30
31 act {
32 MindServer.report(agent_id, status, findings)
33 Memory.episodic.save("anomalies", findings)
34 }
35
36 }
Premise Language · SubThought Platform Read the Paper
The Source

SubThought On GitHub

Our core platform repositories are open and actively maintained. Follow along, contribute, or fork to build your own cognitive systems on top of the stack.

SubThought / Premise

The Premise Language — a Stigmergic Agent Language for defining the cognitive behavior of autonomous agents. Write once, deploy anywhere.

  • Language
  • Cognitive AI
  • Agents
View Repository
SubThought / Sentience

The Sentience framework — tools and architecture for building sentient, adaptive beings. The cognitive runtime that brings Premise agents to life.

  • Runtime
  • GILs
  • Architecture
View Repository
SubThought / Worlds

Virtual Environments for Learners — simulation environments where cognitive agents can train, test, and adapt before real-world deployment.

  • Simulation
  • Training
  • Environments
View Repository
SubThought / Packages

Interfaces to Devices, Worlds, and Databases — the integration layer connecting cognitive agents to hardware, environments, and data systems. Written in C#.

  • C#
  • Integrations
  • Hardware
View Repository

Ready To Build Machines That Think?

Explore the Premise source, read the documentation, or pick up the books.

Talk To Us

GitHub

SubThought / Premise

Source code, examples & docs.

Amazon Books

The Premise Language

Learn from the authors.

Platform

Mind Server

See Premise in production.
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