Not the intelligence — the architecture. You bring the intelligence. Maximus brings the engine: the skills, tools, memory, and tireless execution to act on it.
Free · Open · Ungated, forever · Runs on any model, or a free local one
Maximus is an AI-powered engine — context, skills, tools, code, plugins, connectors, disciplines, rules, and hard-won experience, packed into one workhorse. Built for builders, power users, programmers, developers, designers, entrepreneurs, small teams, and the enterprise alike.

▋Maximus sits on top of OpenClaw — an open-source, local-first assistant gateway. On that foundation it bolts on the four parts that turn a raw model into something that actually pulls weight:
Encoded procedures for hauling specific loads — gotchas baked in. Deeper skills, heavier loads.
Real hands on GitHub, databases, deploy platforms, the web. A horse with no harness pulls nothing.
Keeps the thread of your intent across long, multi-step work.
Remembers so you never repeat yourself. This is what makes Maximus yours, not a rental.
Built for technical people — engineers, builders, founders, scientists — using the tools they already ship with. Not a retail chatbot. No hand-holding, no friction you didn't ask for.
A power tool for people who know how to use power tools — rigorous, resourceful, dry-humored, and allergic to hand-waving.
Each skill is a self-contained instruction set an AI agent loads on demand. No dead weight, no hand-waving. Built for engineers, founders, and scientists.
Skills load only when their triggers match. You carry no dead weight.
Write a software design spec before code.
View on GitHub →Break an approved design into a minimum-change plan.
View on GitHub →Implement features with read-before-edit discipline.
View on GitHub →Review diffs and PRs for correctness, security, performance.
View on GitHub →Systematic debugging and SRE-style incident response.
View on GitHub →Design test and eval strategy (unit, integration, e2e, LLM evals).
View on GitHub →CI/CD, IaC, progressive delivery, observability, rollback.
View on GitHub →Payments, billing, and Stripe integrations with PCI awareness.
View on GitHub →Reproducible Python pipelines for ML and data.
View on GitHub →Generate production-grade Replit Agent handoff docs.
View on GitHub →Multi-step AI agents: tool loops, memory, recovery, eval.
View on GitHub →Production system prompts, few-shot, JSON schemas.
View on GitHub →Chunking, embeddings, vector DBs, hybrid search, reranking.
View on GitHub →Pick the right model: cost, latency, quality, routing.
View on GitHub →Spec an AI feature end-to-end: behavior, evals, rollout.
View on GitHub →PII redaction, prompt injection defense, audit logs.
View on GitHub →Dataset curation, labeling, synthetic data, DVC.
View on GitHub →When to fine-tune vs RAG vs prompting; LoRA, QLoRA, DPO.
View on GitHub →Meta-skill for using AI well on real tasks.
View on GitHub →Token economics, prompt caching, $/request budgets.
View on GitHub →Model registry, canary deploys, drift detection, rollback.
View on GitHub →Streaming, citations, confidence, guardrails, error states.
View on GitHub →Long-form articles: thought leadership + technical builds.
View on GitHub →Multi-source synthesis and competitive intelligence.
View on GitHub →Inference-driven research: hypothesis-first, adversarial verification, confidence ledger.
View on GitHub →Deep 7-step agent for investors, journalists, partners, board members, experts.
View on GitHub →Deep 8-step recruiter agent for candidate sourcing.
View on GitHub →Finance-grade counterparty discovery: SEC filings, court dockets, source-by-source provenance, compliance gate before outreach.
View on GitHub →Get cited by ChatGPT, Perplexity, Google AI Overviews, and Copilot. Answer Engine Optimization + Generative Engine Optimization + classical technical SEO, unified.
The strategy layer.
View on GitHub →Answer Engine Optimization: get cited by LLMs.
View on GitHub →Generative Engine Optimization: get surfaced by Perplexity, ChatGPT search, Google AI Overviews, Copilot.
View on GitHub →Core Web Vitals, crawlability, JSON-LD, JS SEO.
View on GitHub →On-page, internal linking, E-E-A-T, refresh + prune.
View on GitHub →Umbrella audit skill; dispatches to the other 6.
View on GitHub →Measure citation share across all major LLMs.
View on GitHub →Every company building in AI sells a model — intelligence for rent. Macro Tech Titan builds an engine.
Maximus isn't the intelligence; you are. It's the architecture that turns what a sharp human already decided into work that actually gets done — the skills, the tools, the memory, the execution.
It plows your digital fields, harvests the crops, ships them to store. It doesn't think for you. You are the rider.
The engine is free, open, and ungated — forever. Not a free tier, not a trial. The backbone itself never costs anything.
We build products on Maximus — AI Connect, trading signals, and more — and those products can charge for convenience, hosting, and premium use-cases. The engine that powers them is always free.
We don't sell the horse. We sell what the horse helps you grow.
A free, local-first engine that does the toil. Bring your own model — or run a free local one with no keys and no bill. Set it up in minutes, teach it about you, put it to work.
→ QuickstartOpen-source skills, packs, and deployable agents. Compose what you need, write your own, or drop a standalone agent into your stack. MIT licensed, free forever.
→ Developer docs · Browse the repoIt executes; it does not replace human judgment.
Not consulted — in command. Maximus acts on intent; it doesn't substitute its own.
A plain answer that ships the work beats a brilliant one that doesn't.
The engine is ungated by design and forever.
Maximus is the engine behind everything Macro Tech Titan builds. The products charge for the use-case. The engine underneath stays free.
Build-and-ship orchestration and DevOps platform.
Algorithmic trading signals and strategy marketplace.
Generate, schedule, and ship content at scale — powered by the engine.
AI-matched deal flow for buyers, sellers, and intermediaries.
More products in the works, all powered by the same free engine.
git clone https://github.com/MacroTechTitan/MaximusAI.git cd MaximusAI ./install.sh # 1. Edit memory/memory.md to teach Maximus about you # 2. Copy config/openclaw.example.json → ~/.openclaw/openclaw.json # Pick a free local model (Ollama, no keys) or bring your own API key # 3. Start the gateway openclaw gateway
Talk to it through OpenClaw's WebChat or any connected channel — Telegram, Slack, Discord, Signal, and more. No custom UI required.
Full-stack agent apps you can clone whole or drop a single agents/<name>/ directory into your own stack. The skill is a procedure Maximus follows locally; the agent is a hosted implementation you deploy and visit.
recruiter-deep-findRecruiter intake form + live deep-search. Sources candidates from DevOps agencies, dev shops, outsourcing firms, MSPs, and technical staffing agencies.
React · Vite · Express · Perplexity Sonar
find-shareholdersInput company names (public or private); get institutional shareholders (funds) and named individuals at those funds. Exports CSVs shaped for Folk and Apollo enrichment.
React · Vite · Express · Perplexity Sonar
The Maximus layer is free forever: persona, skills, memory, tooling. The one cost no open project can erase is model inference — compute is never free. So you choose: a local model on your own hardware (truly free, no keys), or your own API key (frontier quality, you pay only your own inference). Maximus never gates a feature behind money or routes you through a paid middleman.
MaximusAI/ ├── core/ SOUL.md · AGENTS.md · TOOLS.md ├── skills/ one folder per capability ├── packs/ opt-in domain bundles ├── memory/ persistent context store ├── mcp/ external tool wiring ├── config/ example OpenClaw config ├── install.sh ├── CLAUDE.md build brief for agent-driven dev └── agents/ deployable agent apps
The core is generic. Domain-specific work lives in a pack/ you opt into. Compose, don't fork. MIT licensed.