Aspera

👋 **Hey Product Hunt! I’m Christian, creator of ASPERA** I built **ASPERA** to solve a big AI trade-off: • **LLMs are powerful but opaque** — impossible to know *why* a decision was made • **Symbolic systems are transparent but rigid** — zero adaptability 🎯 **ASPERA bridges both worlds natively.** --- ### 💡 What makes it unique * **Declarative syntax** – Write cognitive rules in a clean DSL, no black boxes * **Native explainability** – Every decision produces a full reasoning trace * **Hybrid reasoning** – Symbolic logic for common cases + LLMs for complex context * **Type-safe with LSP** – Autocomplete, linting, and “Go to Definition” as you code * **Plugin ecosystem** – OpenAI, Gemini, Groq, Weaviate, OpenTelemetry * **Adaptive learning** – Agents improve continuously through feedback loops --- ### 🚀 Already in production for: * **Healthcare triage** – Transparent patient prioritization * **Fraud detection** – Clear explanations for red flags * **Customer support automation** – Smart ticket classification and routing --- 📚 **Academic validation:** Published on Zenodo ([DOI: 10.5281/zenodo.17313992](https://doi.org/10.5281/zenodo.1...)) --- ### ⚡ Quick start (5 min) ```bash pip install aspera ``` Create your first agent: ```python # my_agent.aspera agent FraudDetector { goal: "Identify suspicious transactions" rule HighRisk { if amount > 10000 and country in high_risk_list -> flag_for_review reasoning: "Large amount from risky location" } llm_fallback: "Analyze transaction context" model: "gemini-pro" } ``` Run it: ```bash python -m aspera run my_agent.aspera ``` --- ### 🧠 Why I built ASPERA Working on AI for **healthcare and finance**, I realized **explainability isn’t optional**. Decision-makers need to understand *why* an AI chose a particular action — especially in critical domains. --- ### 🗺️ Roadmap 2025 * Visual Agent Builder (drag-and-drop DSL) * Cloud-hosted runtime (zero-config deployment) * Pre-built agent templates for industries * Community plugin marketplace --- 🙏 Happy to answer questions — what would *you* build with ASPERA? 🔗 **Links** * GitHub: [github.com/rthgit/Aspera](https://github.com/rthgit/Aspera) * PyPI: [pypi.org/project/aspera](https://pypi.org/project/aspera/) * Zenodo Paper: [doi.org/10.5281/zenodo.17313992](https://doi.org/10.5281/zenodo.1...) * Docs: [github.com/rthgit/Aspera/docs](https://github.com/rthgit/Aspera...)