
Mini LLM FlowMinimalist 100-line LLM framework for building self-programming agent workflows
Overview
Key features
- Around 100 lines of core code
- Prompt chaining and flow control
- Support for agent-style workflows
- Designed for LLM self-programming
- Minimal dependencies
- Open and easily forkable
Pricing
- Model
- Free
- Category
- AI Agents Frameworks
- Rating
- 4.8 / 5 (6)
Use cases
Learn agent workflow fundamentals
Study a compact ~100-line codebase to understand how prompt chaining, state, and agent orchestration work without wading through a large framework.
Build custom lightweight agent systems
Fork the minimal core as a foundation for bespoke agent workflows, avoiding heavy dependencies and lock-in from larger orchestration libraries.
Experiment with self-programming agents
Leverage the minimal abstraction so LLMs can read, reason about, and generate modifications to their own workflow code more reliably.
Prototype LLM pipelines quickly
Use the stripped-down primitives to spin up prompt chains and flow control for proofs of concept before committing to a heavier stack.
Pros & Cons
Pros
- Extremely small and readable codebase
- Easy for LLMs to understand and extend
- No heavy dependencies or lock-in
- Good educational resource for agent design
Cons
- Limited built-in features compared to larger frameworks
- Requires more manual setup for complex use cases
- Smaller community and ecosystem
Battle record
Across 1 battle in the Pantheon.
Last battle
Reviews
Average from 6 ratings.
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Years in this space
I've evaluated a lot of these over the years. What stands out here is minimal dependencies — handled better than most — and no heavy dependencies or lock-in. Limited built-in features compared to larger frameworks is my one real gripe. Worth the time if this is your use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is open and easily forkable — handled better than most — and extremely small and readable codebase. Worth the time if this is your use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is prompt chaining and flow control — handled better than most — and extremely small and readable codebase. Smaller community and ecosystem is my one real gripe. Worth the time if this is your use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is designed for LLM self-programming — handled better than most — and extremely small and readable codebase. Worth the time if this is your use case.
Solid for our team
We rolled this out across the team last quarter and extremely small and readable codebase. Support for agent-style workflows fits neatly into how we already work, and prompt chaining and flow control removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on minimal dependencies, and no heavy dependencies or lock-in caught me off guard. still, I'd recommend giving it a real trial.
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