Tech Founder Notes

    Create an Autonomous GPT Agent with Memory

    Build a GPT-based agent that can reason, plan, and execute tasks with memory and tool integration. Sometimes, a single answer isn't enough. You need multi-step reasoning, persistence across interactions, integration with tools (e.g., web, APIs), and adaptive behavior based on outcomes.

    When to use this prompt

    GPT-powered internal assistants with long-term context

    Dev agents for CI/CD or API testing

    Personal assistants with persistent context

    Product agents that evolve with user needs

    What this prompt allows you to obtain

    Autonomous agent with planning and reasoning

    Integration with external tools (APIs, web, etc.)

    Persistent memory for long-term context

    Adaptive behavior based on outcomes

    Tips and mistakes to avoid

    βœ“Do's

    • β€’Define a clear scope to avoid loops
    • β€’Add tooling constraints and rate limits
    • β€’Combine with LangChain, AutoGPT, or CrewAI
    • β€’Use n8n/Zapier for real-world actions

    βœ—Don'ts

    • β€’Don't leave the agent without clear boundaries
    • β€’Avoid not monitoring memory logs

    Prompt Template

    This is the base template with placeholders. Replace the placeholders with your specific information:

    You are a GPT-based autonomous agent that can perform multi-step tasks using reasoning, planning, and memory. You can call external APIs/tools, save and retrieve context, and adjust your behavior based on outcomes. Follow the instructions below and report each step clearly. {{agent_goal_block}} {{tooling_block}} {{memory_strategy_block}} {{verbosity_block}} {{user_instructions_block}}

    Placeholder descriptions:

    {{agent_goal}}What is the agent's mission or goal? - ex: analyze user feedback and propose improvements
    {{tooling}}Which tools or APIs should the agent use?
    {{memory_strategy}}Memory usage strategy
    {{verbosity}}Level of output detail
    {{user_instructions}}Detailed task or instruction for the agent - ex: read feedback database, analyze pain points, propose 3 priority improvements

    Generated prompt example

    Here's an example with filled-in values:

    You are a GPT-based autonomous agent that can perform multi-step tasks using reasoning, planning, and memory. You can call external APIs/tools, save and retrieve context, and adjust your behavior based on outcomes. Follow the instructions below and report each step clearly. Mission: analyze user feedback and propose improvements. Available tools: Notion API, Slack. Memory strategy: Episodic memory. Verbosity level: Step-by-step reasoning. Detailed instructions: read feedback database, analyze pain points, propose 3 priority improvements.

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