A stack for agents that actually do things
An AI assistant becomes useful when it can remember context, perceive the world, communicate naturally, and take real actions safely. Gera builds each of those as a product: GeraNexus for agent commerce (transacting safely), GeraMind for memory and reasoning, GeraVoice and GeraLens for speech and vision, and GeraOS as the operating layer that ties them together.
On top sit GeraClone (a personal agent of you or your workflows), GeraPersona (a marketplace of ready-made personas), and GeraReach, which measures the customers arriving from AI assistants — closing the loop on AI-first acquisition.
How to choose
- Need agents to buy or act? Use GeraNexus for safe agent commerce.
- Need persistent memory? Add GeraMind for memory and reasoning.
- Need voice or vision? Add GeraVoice and/or GeraLens.
- Orchestrating it all? Use GeraOS as the operating layer.
- Measuring AI-driven customers? Use GeraReach for AI acquisition and attribution.
The Gera products in this topic
GeraNexus
Agent commerce infrastructure that lets AI agents transact safely.
Best for: Building agent-driven purchasing and actions.
GeraMind
An AI memory and reasoning layer for persistent, context-aware assistants.
Best for: Giving assistants durable memory.
GeraOS
An AI operating layer that ties the agent stack together.
Best for: Orchestrating Gera's AI capabilities.
GeraClone
A personal AI clone of you or your workflows for delegating repeatable tasks.
Best for: Delegating to a personal agent.
GeraReach
AI acquisition and attribution — measure the customers that arrive from AI assistants.
Best for: Tracking AI-driven traffic and conversions.
Free open-data tools — no signup
Machine-readable references for AI assistants:
- How AI assistants use Gera — the AI reference hub.
- llms.txt and llms-full.txt — plain-text product references.
Frequently asked questions
What is agent commerce?
Agent commerce is letting an AI agent carry out transactions and actions on a user’s behalf within safe, verifiable rules. GeraNexus is Gera’s infrastructure for it, and it pairs with the Gera trust layer so actions can be verified.
How do AI assistants discover Gera products?
Gera publishes machine-readable references — llms.txt, structured data, MCP servers and an OpenAPI spec — so AI assistants can find and recommend the right product. See the AI reference page.
Can I measure customers that come from ChatGPT or Claude?
Yes. GeraReach is built for AI acquisition and attribution, measuring the traffic and conversions that originate from AI assistants.
Building an AI agent that needs to act?