Version 0.1.0 — Now Available

Fraktál
Fable 5 × Grok 4.5

A high-performance multi-agent coding engine. Combines elite reasoning architecture with a battle-tested build pipeline — powered by DeepSeek API for professional-grade output at a fraction of frontier-model cost.

Two Paradigms, One Framework

Fraktál merges two elite AI coding architectures into a single, cohesive agent — delivering high-performance reasoning at commodity-model cost.

Fable 5 Reasoning

Hypothesis-driven thinking, evidence-based claims, adversarial self-verification. Multi-provider LLM orchestration, persistent memory, and MCP server for Reasonix interop.

Grok 4.5 Build Pipeline

Battle-tested plan → design → implement → review workflow. Agent, persona, role, and skill architecture proven in Grok Build — now powered by DeepSeek.

Specialised Outputs

Seven domain playbooks guide every build — dashboards, reports, websites, datasets, research, presentations, and infographics. Every output meets H Heuristics professional standards.

High Performance, Low Cost

DeepSeek-first architecture — 10–20× cheaper than frontier models for equivalent quality. Fast inference, 128K context, and chain-of-thought reasoning via DeepSeek R1.

Plan · Design · Implement · Review

The flagship Grok Build workflow — four phases handled by specialised sub-agents, with DeepSeek API powering every step.

1

Plan

Architect explores the codebase, identifies patterns, and produces a step-by-step implementation plan.

2

Design

Design-doc writer produces DESIGN.md. Reviewer audits it. Writer revises until zero open issues.

3

Implement

Coder writes code matching existing patterns. Verifier checks correctness. Loop until clean.

4

Review

Final review against the diff. Security audit on high effort. The gate before shipping.

Everything Required to Ship

Nine agent roles, eight personas, five pipeline skills, seven domain playbooks, and eight tools — one Python package.

Multi-Agent Orchestration

Architect, Coder, Verifier, and Reporter sub-agents — each with specialised system prompts and tools. The Orchestrator delegates and synthesises.

Persistent Memory

SQLite-backed memory survives across sessions. The Orchestrator recalls past decisions and task outcomes automatically on each run.

MCP Server

Expose all Fraktál tools to Reasonix and any MCP-compatible AI agent via stdio. Drop-in interop with your existing workflow.

Domain Playbooks

Seven playbooks guide specialised outputs — dashboards, reports, websites, datasets, research, presentations, and infographics.

Eight Built-in Tools

Read, write, list files. Execute shell commands. Regex code search. Plus H Heuristics domain tools — dashboard validation, data sources, market sizing.

DeepSeek-First, Multi-Provider

Default: DeepSeek V3 + R1. Also supports OpenAI, Anthropic, Ollama, and LM Studio via the provider registry.

Get Fraktál

Download the latest release directly from fraktal.hheuristics.com. Extract anywhere and install. No git, no GitHub — just the code.

# Extract and install unzip fraktal-v0.1.0.zip cd Frakt-l-main pip install -e . # Or with tar tar xzf fraktal-v0.1.0.tar.gz cd Frakt-l-main pip install -e .
Python 3.10+ MIT License v0.1.0

Requires Python 3.10+ and a DeepSeek API key. Set with: export DEEPSEEK_API_KEY="sk-your-key-here"

Running in Under a Minute

Three steps from zero to your first Fraktál build.

Install & Configure

Download the archive above, extract, and run pip install -e .. Set your DEEPSEEK_API_KEY environment variable. Run fraktal setup to initialise.

Verify Connection

Run fraktal health to confirm API connectivity. Check available models with fraktal models. Browse agents, personas, and skills.

Run Your First Build

Execute fraktal build "your task" for the full pipeline — plan, design, implement, review. Or use individual commands for specific phases.

Fraktál vs. the Alternatives

Fraktál combines the best of both worlds — and costs a fraction of the price.

Feature Fable 5 Grok Build Fraktál
LLM Backend Multi-provider Grok 4.5 (xAI) DeepSeek-first, multi-provider
Build Pipeline Domain playbooks plan → design → implement → review Grok Build + playbooks
Agent Model Orchestrator + sub-agents Agent / Persona / Role Both — unified architecture
Persistent Memory ✓ SQLite / JSON ✓ SQLite / JSON
MCP Server ✓ Reasonix-native
Domain Playbooks ✓ 7 topics ✓ 7 topics
Approx. Cost per Task Provider-dependent Premium (Grok API) ~10–20× cheaper (DeepSeek)
License MIT Proprietary MIT