# memejob docs ## memejob - [memejob](https://docs.memejob.fun/memejob.md): Tokenized internet culture! - [Your new fave job awaits](https://docs.memejob.fun/memejob/your-new-fave-job-awaits.md): Memejob - the launchpad of the people! - [Defining memejob](https://docs.memejob.fun/memejob/defining-memejob.md): The Retail Step-function for the Hedera ecosystem - [Features](https://docs.memejob.fun/memejob/features.md): Unpacking key memejob capabilities on Hedera - [How to Launch](https://docs.memejob.fun/memejob/features/how-to-launch.md): How to Launch a Coin on MemeJob.fun - [Token Details](https://docs.memejob.fun/memejob/features/token-details.md) - [User Account](https://docs.memejob.fun/memejob/features/user-account.md) - [Bonding Curve](https://docs.memejob.fun/memejob/features/bonding-curve.md): Price discovery starts here - [How to Participate](https://docs.memejob.fun/memejob/features/how-to-participate.md) - [Introducing AI Agents](https://docs.memejob.fun/memejob/introducing-ai-agents.md) - [Our Agents are Different...](https://docs.memejob.fun/memejob/introducing-ai-agents/our-agents-are-different....md): Why memejob AI agents prioritize constraints, verifiability, and human-in-the-loop execution over unconstrained autonomy and generic LLM-driven behavior - [Design Principles](https://docs.memejob.fun/memejob/introducing-ai-agents/our-agents-are-different.../design-principles.md) - [The Agentic System](https://docs.memejob.fun/memejob/introducing-ai-agents/our-agents-are-different.../the-agentic-system.md) - [v0.1 Clay Agents](https://docs.memejob.fun/memejob/introducing-ai-agents/v0.1-clay-agents.md): v0.1 Clay Agents focus on research, simulation, and signal generation. They are designed to help users evaluate strategies and agents before introducing autonomous execution or capital management - [Agent Parameters](https://docs.memejob.fun/memejob/introducing-ai-agents/agent-parameters.md): Agent parameters define the public identity, economic setup, and strategic behavior of an agent. Together, they determine how an agent is perceived, how it can be used, and what logic it operates on. - [Interacting with Agents](https://docs.memejob.fun/memejob/introducing-ai-agents/interacting-with-agents.md): This section describes how users discover agents, request insights, interpret outputs, and decide how to act on the information provided - [memejob Agent Setup Guide](https://docs.memejob.fun/memejob/introducing-ai-agents/memejob-agent-setup-guide.md): This guide provides a high-level walkthrough of the creation flow, from strategy creation, to token launch, to live agent. - [Creating an Agent](https://docs.memejob.fun/memejob/introducing-ai-agents/memejob-agent-setup-guide/creating-an-agent.md): Creating an agent on memejob involves pairing a strategy with an onchain identity and token, defining how that agent will expose insights, accept usage, and interact with users. - [Creating a Strategy](https://docs.memejob.fun/memejob/introducing-ai-agents/memejob-agent-setup-guide/creating-a-strategy.md): A strategy defines the deterministic logic an agent uses to interpret market data and generate signals. This page covers strategy design, configuration, and evaluation. - [LLM-assisted strategy builder](https://docs.memejob.fun/memejob/introducing-ai-agents/memejob-agent-setup-guide/creating-a-strategy/llm-assisted-strategy-builder.md): The LLM-assisted strategy builder helps users generate strategy code efficiently. It does not change execution semantics: strategies remain deterministic and auditable. - [Syntax & Commands](https://docs.memejob.fun/memejob/introducing-ai-agents/memejob-agent-setup-guide/creating-a-strategy/syntax-and-commands.md): This sectionsection documents the supported syntax, commands, and primitives available in the memejob strategy engine. It serves as a reference and is not intended to be read linearly. - [Agentic & Data Layer](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer.md): This section explains how memejob AI agents are structured at a system level, separating data ingestion from agent behavior to ensure modularity, auditability, and extensibility. - [Agent Framework](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/agent-framework.md): The section defines how agents are instantiated, configured, and executed. It provides the runtime scaffolding that connects strategies, data inputs, and interaction interfaces. - [Supported Assets](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/supported-assets.md): This section lists the assets currently supported by the memejob strategy and agent system. Supported assets determine which markets agents can analyze, simulate, and generate signals for. - [Data Source](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/data-source.md): This section describes the raw data providers that supply market, liquidity, and pricing inputs. These data sources form the foundation on which technical indicators and higher-level agent reasoning. - [Technical Indicators](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/technical-indicators.md): This section introduces the categories of technical indicators supported in strategies, explains how they are used to derive signals from market data. Indicators provide structured inputs to strategy. - [Supported data - Basic](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/technical-indicators/supported-data-basic.md) - [Moving Average Indicators](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/technical-indicators/moving-average-indicators.md): Moving averages are used to identify trend direction, filter noise, and define entry or exit conditions. This section documents the moving average indicators available and how they are used. - [Relative Strength Index](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/technical-indicators/relative-strength-index.md): Relative Strength Index is used to identify overbought or oversold conditions and potential reversals. RSI focuses on momentum and exhaustion rather than direction. - [Backtesting Strategy performance](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/backtesting-strategy-performance.md): Backtesting allows you to evaluate how a strategy would have behaved on historical data before using it in live conditions. It helps assess signal quality, consistency, and basic risk characteristics. - [Sample Trading Strategies](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/sample-trading-strategies.md): This section presents reference strategies demonstrating common trading patterns. These examples are intended as learning tools and starting points rather than ready-to-use trading systems. - [AI Indicators](https://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer/ai-indicators.md): Selection for Strategy Complementarity - [Roadmap](https://docs.memejob.fun/memejob/introducing-ai-agents/roadmap.md): This roadmap outlines areas of active exploration and potential future enhancements. It provides visibility into the product direction rather than a commitment to specific features or timelines. - [Token Allocations](https://docs.memejob.fun/memejob/token-allocations.md): Lifecycle of the instantly tradable & standardised memejob tokens - [memejob Points](https://docs.memejob.fun/memejob/memejob-points.md): THE ENGAGEMENT LEDGER - [Protocol Fees](https://docs.memejob.fun/memejob/protocol-fees.md) - [Referral System](https://docs.memejob.fun/memejob/referral-system.md) - [Roadmap](https://docs.memejob.fun/memejob/roadmap.md): Updated 2026 - [Integrations & SDK](https://docs.memejob.fun/memejob/integrations-and-sdk.md): Build bots, dashboards, agents, and trading tools using official memejob SDKs and community integrations. - [Memejob Merch store](https://docs.memejob.fun/memejob/memejob-merch-store.md): The merch store turns real-world demand it into on-chain momentum. It carries Hedera-native culture into the streets while feeding sustainable revenue and token buy pressure back into the ecosystem. - [What? Memejob Merch Store?](https://docs.memejob.fun/memejob/memejob-merch-store/what-memejob-merch-store.md) - [Mission Statement](https://docs.memejob.fun/memejob/memejob-merch-store/mission-statement.md) - [Revenue Flow & Buybacks](https://docs.memejob.fun/memejob/memejob-merch-store/revenue-flow-and-buybacks.md) - [Types of Merch](https://docs.memejob.fun/memejob/memejob-merch-store/types-of-merch.md): Each merch type serves a distinct economic and cultural function. - [Rooted in Community](https://docs.memejob.fun/memejob/memejob-merch-store/rooted-in-community.md) - [Graphics & meme Toolkit](https://docs.memejob.fun/memejob/graphics-and-meme-toolkit.md): Buidl Bober memes - [Seeking inspiration?](https://docs.memejob.fun/memejob/seeking-inspiration.md): a handy cheat-book to get your juices flowin' - [Legal Disclaimer](https://docs.memejob.fun/memejob/legal-disclaimer.md): MemeJob Disclaimer - [Terms and Conditions](https://docs.memejob.fun/memejob/terms-and-conditions.md) - [Risk Disclosure](https://docs.memejob.fun/memejob/risk-disclosure.md) - [Code of Conduct](https://docs.memejob.fun/memejob/code-of-conduct.md) --- # Agent Instructions This documentation is published with GitBook. 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