Fibona Agent is an MIT-licensed AI agent that writes and repairs its own Python code while running.
- for
- Developers building autonomous or self-healing Python scripts and agents.
- pricing
- open source
- license
- MIT
Key features
- Self-writing code — The model generates new Python cells step-by-step as it works.
- Automatic repair — When execution fails, the agent creates recovery cells to fix the error.
- Multiple bootstrap modes — Supports terminal, minimal, and custom Python bootstrap configurations.
- Library mode — The core can be imported and used as a Python library in other projects.
- MIT license — Fully open-source with permissive licensing.
- Model-agnostic — Works with any model provider API key you supply.
Use cases
- Generate and run autonomous scripts that adapt to new tasks.
- Create self-healing automation that recovers from runtime errors.
- Extend a minimal Python core with task-specific capabilities on the fly.
- Embed the agent core into existing Python applications as a library.
Fibona Agent vs alternatives
 Fibona Agent |  LangChain |  LlamaIndex |  Devin |  LangGraph | |
|---|---|---|---|---|---|
| Best for | Self-modifying Python agents | LLM app frameworks | Data-driven LLM apps | Full-stack AI engineer | Stateful agent orchestration |
| Pricing | Open source | Free | Free | Subscription | Free |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Dec 2030 | — | — | — | — |
- Fibona Agent vs LangChain: LangChain is a framework for building LLM apps; Fibona Agent focuses on self-writing and self-repairing code.
- Fibona Agent vs LlamaIndex: LlamaIndex provides data-centric retrieval; Fibona Agent generates and fixes code autonomously.
- Fibona Agent vs Devin: Devin is an autonomous AI software engineer; Fibona Agent is a lightweight Python-only agent.
- Fibona Agent vs LangGraph: LangGraph manages stateful agent graphs; Fibona Agent writes its own execution loop.
Fibona Agent FAQ
What license is Fibona Agent released under?+
It is released under the MIT license, allowing free use and modification.
Do I need to pay for the agent itself?+
The source code is free; only the underlying LLM provider API may incur charges.
How does Fibona Agent handle execution errors?+
When a cell fails, the agent generates recovery cells until the error is resolved, up to three consecutive failures.
Can I use Fibona Agent as a library in my own project?+
Yes, the core can be imported and used programmatically as a Python library.
What runtime requirements does it have?+
It requires Python 3.12 or newer and the uv package, plus an API key for a model provider.
What is the difference between Fibona Agent and a typical ReAct loop?+
In Fibona Agent the model writes the next code cell itself, whereas in ReAct the developer writes the loop and the model only selects tools.
Summarized by DevHunt from fibona.ai · Oct 13, 2026. Details may change; check the official site.
