Maximus 🐴
Maximus 🐴
Maximus 🐴
The Workhorse forFintech
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.
What turns a model into a workhorse
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:
Skills
Encoded procedures for hauling specific loads — gotchas baked in. Deeper skills, heavier loads.
Tools / MCP
Real hands on GitHub, databases, deploy platforms, the web. A horse with no harness pulls nothing.
Context
Keeps the thread of your intent across long, multi-step work.
Memory
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.
36 skills. 5 pillars. One workhorse.
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.
Cognitive OS· 1 skill
Build & Ship· 10 skills
maximus-design-spec
Write a software design spec before code.
View on GitHub →maximus-plan-implementation
Break an approved design into a minimum-change plan.
View on GitHub →maximus-build-feature
Implement features with read-before-edit discipline.
View on GitHub →maximus-code-review
Review diffs and PRs for correctness, security, performance.
View on GitHub →maximus-debug-incident
Systematic debugging and SRE-style incident response.
View on GitHub →maximus-eval-and-test
Design test and eval strategy (unit, integration, e2e, LLM evals).
View on GitHub →maximus-devops-ship
CI/CD, IaC, progressive delivery, observability, rollback.
View on GitHub →maximus-fintech-payments
Payments, billing, and Stripe integrations with PCI awareness.
View on GitHub →maximus-python-scientific
Reproducible Python pipelines for ML and data.
View on GitHub →maximus-replit-handoff-pro
Generate production-grade Replit Agent handoff docs.
View on GitHub →AI Engineering· 12 skills
maximus-agent-design
Multi-step AI agents: tool loops, memory, recovery, eval.
View on GitHub →maximus-prompt-engineering
Production system prompts, few-shot, JSON schemas.
View on GitHub →maximus-rag-pipeline
Chunking, embeddings, vector DBs, hybrid search, reranking.
View on GitHub →maximus-llm-model-selection
Pick the right model: cost, latency, quality, routing.
View on GitHub →maximus-ai-product-spec
Spec an AI feature end-to-end: behavior, evals, rollout.
View on GitHub →maximus-ai-safety-governance
PII redaction, prompt injection defense, audit logs.
View on GitHub →maximus-ai-data-pipeline
Dataset curation, labeling, synthetic data, DVC.
View on GitHub →maximus-fine-tuning
When to fine-tune vs RAG vs prompting; LoRA, QLoRA, DPO.
View on GitHub →maximus-ai-fluency-for-builders
Meta-skill for using AI well on real tasks.
View on GitHub →maximus-ai-cost-control
Token economics, prompt caching, $/request budgets.
View on GitHub →maximus-mlops-deploy
Model registry, canary deploys, drift detection, rollback.
View on GitHub →maximus-ai-ux-patterns
Streaming, citations, confidence, guardrails, error states.
View on GitHub →Writing, Research & People-Finding· 6 skills
maximus-write-article
Long-form articles: thought leadership + technical builds.
View on GitHub →maximus-deep-research
Multi-source synthesis and competitive intelligence.
View on GitHub →maximus-deep-research-pro
Inference-driven research: hypothesis-first, adversarial verification, confidence ledger.
View on GitHub →maximus-people-finder
Deep 7-step agent for investors, journalists, partners, board members, experts.
View on GitHub →maximus-people-finder-recruiter
Deep 8-step recruiter agent for candidate sourcing.
View on GitHub →maximus-counterparty-discovery
NewFinance-grade counterparty discovery: SEC filings, court dockets, source-by-source provenance, compliance gate before outreach.
View on GitHub →AI SEO Pack — opt-in· 7 skills
Opt-in packGet cited by ChatGPT, Perplexity, Google AI Overviews, and Copilot. Answer Engine Optimization + Generative Engine Optimization + classical technical SEO, unified.
maximus-ai-seo-strategy
The strategy layer.
View on GitHub →maximus-aeo-optimization
Answer Engine Optimization: get cited by LLMs.
View on GitHub →maximus-geo-optimization
Generative Engine Optimization: get surfaced by Perplexity, ChatGPT search, Google AI Overviews, Copilot.
View on GitHub →maximus-technical-seo
Core Web Vitals, crawlability, JSON-LD, JS SEO.
View on GitHub →maximus-content-seo
On-page, internal linking, E-E-A-T, refresh + prune.
View on GitHub →maximus-seo-audit
Umbrella audit skill; dispatches to the other 6.
View on GitHub →maximus-llm-visibility-tracking
Measure citation share across all major LLMs.
View on GitHub →Try the workhorse.
An engine, not a model
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.
Free engine. Build anything on it.
Forever ungated
The engine is free, open, and ungated — forever. Not a free tier, not a trial. The backbone itself never costs anything.
We sell what it helps you grow
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.
Pick your saddle
Run your own Maximus
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.
→ QuickstartBuild on Maximus
Open-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 repoThe rider decides
AI is an engine, not a mind.
It executes; it does not replace human judgment.
The human is in command.
Not consulted — in command. Maximus acts on intent; it doesn't substitute its own.
Capability over cleverness.
A plain answer that ships the work beats a brilliant one that doesn't.
Free is a feature, not a tier.
The engine is ungated by design and forever.
The engine behind everything
Maximus is the engine behind everything Macro Tech Titan builds. The products charge for the use-case. The engine underneath stays free.
AI Connect
Build-and-ship orchestration and DevOps platform.
OptimaQuant
Algorithmic trading signals and strategy marketplace.
Maximus Content Engine AI
Generate, schedule, and ship content at scale — powered by the engine.
Deal Match AI
AI-matched deal flow for buyers, sellers, and intermediaries.
…and more
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.
Deployable agents, same philosophy
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 deep-find
Recruiter 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-shareholdersFind shareholders
Input 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
Why it's free — honestly
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.
For developers
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.