Announcing SIA: an Open-Source Self-Improving AI framework
[Explore on GitHub]
Announcing SIA: an Open-Source Self-Improving AI framework
[Explore on GitHub]
Announcing SIA: an Open-Source Self-Improving AI framework
[Explore on GitHub]
SIA is a modular, open-source agent designed for hypothesis generation, experimentation, and continuous improvement. Each component evolves over time and can be used independently or as part of the full agent.
SIA is a modular, open-SIA is a modular, open-source agent designed for hypothesis generation, experimentation, and continuous improvement. Each component evolves over time and can be used independently or as part of the full agent. system designed for recursive self improvement
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SIA: Self Improving Agent
SIA is the core open-source agent developed by Hexo Labs. It is designed to structure feedback loops that enable continuous improvement. The agent generates hypotheses, runs experiments, evaluates outcomes, and updates its approach based on results. Over time, performance compounds.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
SOCRATES
Real-time scoring detects high-velocity buyers through purchase cadence, social advocacy, and service interactions. Automatically enrolls them in margin-boosting bundles and concierge offers – Proven 22% CLV lift.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
SOTA
Machine learning predicts dying products using social sentiment decay and competitor shifts, then prescribes liquidation tactics. Users cut write-offs by 19% via flash sales and tax-optimized donations.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
PRISMA
AI adjusts prices in real-time based on inventory turnover, competitor MAP violations, and customer sensitivity tiers. Clients achieve 14% margin lifts while maintaining brand price integrity.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
SIA: Self Improving Agent
SIA is the core open-source agent developed by Hexo Labs. It is designed to structure feedback loops that enable continuous improvement. The agent generates hypotheses, runs experiments, evaluates outcomes, and updates its approach based on results. Over time, performance compounds.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
SOCRATES
Real-time scoring detects high-velocity buyers through purchase cadence, social advocacy, and service interactions. Automatically enrolls them in margin-boosting bundles and concierge offers – Proven 22% CLV lift.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
SOTA
Machine learning predicts dying products using social sentiment decay and competitor shifts, then prescribes liquidation tactics. Users cut write-offs by 19% via flash sales and tax-optimized donations.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
PRISMA
AI adjusts prices in real-time based on inventory turnover, competitor MAP violations, and customer sensitivity tiers. Clients achieve 14% margin lifts while maintaining brand price integrity.
Iterative evaluation and improvement
Structured feedback loops for experimentation
Long-horizon task execution
Performance tracking across runs
How SIA works
SIA operates as a continuous loop designed to improve over time.
Each cycle compounds capability and accelerates discovery.
Generate Hypothesis
Repeat
Run experiments
Update approach
Evaluate results
Generate Hypothesis
Update approach
Evaluate results
Repeat
Run experiments
Built for engineers
Built for engineers
and researchers
and researchers
SIA is modular, inspectable, and extensible. Components can run independently or integrate into existing workflows.
Modular architecture
Experiment-first design
Built-in iteration and evaluation
Designed for extensibility
Modular architecture
Experiment-first design
Built-in iteration and evaluation
Designed for extensibility
BUILD WITH US
We are building a new kind of research system in the open. If you are working on similar problems or want to contribute, we would like to collaborate.
