1. Install Pseudopod
Pseudopod is the local workspace that connects Max to your private Ameeba environment.
Workspace intelligence
Private AI powered by your own hardware.
Access Max from Pseudopod Workspace and Ameeba Chat while the AI engine stays on your machine.
Ask Max to review code, summarize research, analyze logs, explain systems, and organize technical work inside one encrypted Ameeba workspace.
Local machine AIGPU recommendedCPU supportedUse from anywhere
How it works
Max runs locally through Pseudopod.
Install Pseudopod on your local machine, run Max there, and use it from both Pseudopod Workspace and Ameeba Chat while the AI engine stays on your machine. A GPU is recommended for best performance, but Max can still run on CPU.
2. Run local AI
Max runs on your local machine, using GPU when available and CPU as a fallback.
3. Use Max anywhere
Access Max from Pseudopod Workspace or Ameeba Chat while inference still runs locally.
Recommended hardware
Run Max on the machine you control.
Max is designed to run locally through Pseudopod. A dedicated GPU is recommended for the best experience, but CPU mode is supported when GPU acceleration is not available.
NVIDIA GPU recommended
CPU supported as fallback
16GB+ RAM recommended
Local inference through Pseudopod
Built for technical work
Local AI for developers, researchers, and security teams.
Max gives builders, researchers, and security teams a calmer place to ask questions, analyze work, and keep useful AI conversations organized.
LOCAL AI
Run AI closer to your workspace
Use Max for research, code review, summaries, and technical analysis while keeping workflows inside Ameeba.
DEVELOPER WORKFLOWS
Built for technical questions
Ask about APIs, logs, architecture, scripts, models, infrastructure, and cybersecurity without leaving your workspace.
PRIVATE CONTEXT
Keep sensitive AI context protected
Keep AI context, research, operational discussions, and technical workflows inside a more protected environment.
WORKSPACE MEMORY
Keep research organized
Use topic threads for AI research, incident response, model testing, dev work, and technical notes.
Use cases
Designed for builders, research, and security work.
Max is useful where technical context matters: code, logs, infrastructure, models, documentation, and research threads.
Developers
Review code, debug scripts, compare architectures, and document technical decisions inside a private AI workspace.
AI Research
Organize model notes, RAG experiments, fine-tuning ideas, and research threads without losing context.
Cybersecurity
Summarize logs, draft response plans, review security controls, and keep operational analysis structured.
Infrastructure
Plan deployments, reason through cloud designs, and turn implementation notes into clear action steps.
Explore Max by industry
Workflow-specific pages for high-trust teams
See how local AI through Pseudopod can support sensitive work across technical, clinical, legal, and compliance workflows.
Private by design
Built around Ameeba’s protected workspace model.
Runs locally
Max runs on your local machine through Pseudopod.
Technical context
Useful for code, logs, APIs, models, and research.
Fast everyday use
A calm AI workspace for daily technical work.
Frequently asked questions
Common questions about Max
How does Max run locally?
Install Pseudopod on your local machine. Max runs through Pseudopod using your machine as the local AI engine.
Can I use Max from Ameeba Chat?
Yes. You can use Max from both Pseudopod Workspace and Ameeba Chat while the local AI still runs on your machine.
Does Max require a GPU?
A GPU is recommended for best performance, but Max can still run on CPU when a GPU is not available.
Does Max run in the cloud?
Max is designed as local AI through Pseudopod, so inference runs on your local machine instead of a default cloud AI service.
Ask, analyze, summarize, and keep moving.
Max brings AI into the same private workspace where your conversations, files, notes, and technical context already live.
Review code and implementation details
Summarize AI research, documentation, and technical notes
Analyze logs, security events, and infrastructure questions
Keep useful AI threads organized by workspace topic