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Elysia: Agentic Framework Powered by Decision Trees

17 August 2025·336 words·2 mins

GitHub Framework Best Practices Python AI Agent Open Source

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#### Source

Type: GitHub Repository Original link: https://github.com/weaviate/elysia Publication date: 2025-09-04

Summary
#

WHAT - Elysia is an agentic framework based on decision trees, currently in beta, that allows for the dynamic use of tools based on context. It is a Python package and backend for the Elysia app, designed to interact with Weaviate clusters.

WHY - It is relevant for AI business because it allows for the automation of complex decisions and the easy integration of search and data retrieval tools into an AI ecosystem. It solves the problem of dynamically managing tools and data in a decision-making context.

WHO - The main players are Weaviate, the company developing the framework, and the community of developers contributing to the open-source project.

WHERE - It positions itself in the market of agentic platforms and decision-making frameworks, integrating with Weaviate for data management.

WHEN - Elysia is currently in beta, so it is relatively new but shows significant potential for the future.

BUSINESS IMPACT:

Opportunities: Integration with Weaviate to enhance search and data retrieval capabilities, automation of complex decisions.
Risks: Being in beta, it may present instability and require further development.
Integration: Possible integration with the existing stack to improve search and data retrieval functionalities.

TECHNICAL SUMMARY:

Core technology stack: Python, decision trees, Weaviate.
Scalability: Good scalability thanks to integration with Weaviate, but limited by the beta phase.
Technical differentiators: Dynamism in tool use based on decision trees, native integration with Weaviate.

Use Cases
#

Private AI Stack: Integration into proprietary pipelines
Client Solutions: Implementation for client projects
Development Acceleration: Reduction of project time-to-market
Strategic Intelligence: Input for technological roadmap
Competitive Analysis: Monitoring AI ecosystem

Resources
#

Original Links
#

Elysia: Agentic Framework Powered by Decision Trees - Original link

Article recommended and selected by the Human Technology eXcellence team, elaborated through artificial intelligence (in this case with LLM HTX-EU-Mistral3.1Small) on 2025-09-04 19:27 Original source: https://github.com/weaviate/elysia

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Part : CS294/194-196 Large Language Model Agents | CS 194/294-196 Large Language Model Agents

Part : Show HN: Whispering – Open-source, local-first dictation you can trust

Part : Fallinorg v1.0.0-beta

Part : paperetl

Part : Automatically annotate papers using LLMs

Part : My AI Had Already Fixed the Code Before I Saw It

Part : Llama-Scan: Convert PDFs to Text W Local LLMs

Part : Claudia – Desktop companion for Claude code

Part : Show HN: Fallinorg - Offline Mac app that organizes files by meaning

Part : Focalboard

Part : This Article

Part : LangExtract

Part : +1 for "context engineering" over "prompt engineering"

Part : The race for LLM cognitive core

Part : [2507.07935] Working with AI: Measuring the Occupational Implications of Generative AI

Part : Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

Part : Prava - Teaching GPT‑5 to use a computer

Part : InstaVM - Secure Code Execution Platform

Part : Litestar is worth a look

Part : Jobs at Kaizen | Y Combinator

Part : Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production

Part : Introducing pay per crawl: Enabling content owners to charge AI crawlers for access

Part : Agentic Design Patterns - Documenti Google

Part : [2507.14447] Routine: A Structural Planning Framework for LLM Agent System in Enterprise

Part : Qwen3-Coder: Agentic coding in the world

Part : FutureHouse Platform

Part : Voxtral | Mistral AI

Part : Research Agent with Gemini 2.5 Pro and LlamaIndex | Gemini API | Google AI for Developers

Part : AI Act, c'è il codice di condotta per un approccio responsabile e facilitato per le Pmi - Cyber Security 360

Part : [2507.06398] Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI

Part : MindsDB, an AI Data Solution - MindsDB

Part : Backlog.md – Markdown-native Task Manager and Kanban visualizer for any Git repo

Part : Opencode: AI coding agent, built for the terminal

Part : The new skill in AI is not prompting, it's context engineering

Part : SymbolicAI: A neuro-symbolic perspective on LLMs

Part : Gemini for Google Workspace Prompting Guide 101

Part : Judge Rules Training AI on Copyrighted Works Is Fair Use, Agentic Biology Evolves, and more...

Part : MCP is eating the world—and it's here to stay

Part : How Dataherald Makes Natural Language to SQL Easy "How Dataherald Makes Natural Language to SQL Easy" is already in English.

Part : Field Notes From Shipping Real Code With Claude

Part : Nice - my AI startup school talk is now up!

Part : Nice - my AI startup school talk is now up! Chapters: 0:00 Imo fair to say that software is changing quite fundamentally again

Part : Automated 73% of his remote job using basic automation tools, told his manager everything, and got a promotion

Part : Building Effective AI Agents

Part : How Anthropic Teams Use Claude Code

Part : Snorting the AGI with Claude Code

Part : Nanonets-OCR-s – OCR model that transforms documents into structured markdown

Part : The Illusion of Thinking

Part : Trends – Artificial Intelligence | BOND

Part : Claude Code is My Computer | Peter Steinberger

Part : [2505.24863] AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Part : [2505.24864] ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Part : My AI Skeptic Friends Are All Nuts · The Fly Blog

Part : Designing Pareto-optimal GenAI workflows with syftr

Part : "BillionMail 📧 An Open-Source MailServer, NewsLetter, Email Marketing Solution for Smarter Campaigns"

Part : Ask HN: What is the best LLM for consumer grade hardware?

Part : [2411.06037] Sufficient Context: A New Lens on Retrieval Augmented Generation Systems

Part : Show HN: Onlook – Open-source, visual-first Cursor for designers

Part : Agent Development Kit (ADK)

Part : Strands Agents

Part : Show HN: AutoThink – Boosts local LLM performance with adaptive reasoning

Part : Introduction - IntelOwl Project Documentation

Part : Show HN: My LLM CLI tool can run tools now, from Python code or plugins

Part : [2505.03335v2] Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Part : Codex’s Robot Dev Team, Grok's Fixation on South Africa, Saudi Arabia’s AI Power Play, and more...

Part : [2502.00032v1] Querying Databases with Function Calling

Part : Come Addestrare un LLM con i Tuoi Dati Personali: Guida Completa con LLaMA 3.2

Part : AI Hedge Fund

Part : Troy Hunt: Have I Been Pwned 2.0 is Now Live!

Part : A Research Preview of Codex

Part : [2505.06120] LLMs Get Lost In Multi-Turn Conversation

Part : Ollama's new engine for multimodal models

Part : Vision Now Available in Llama.cpp

Part : [2505.03335] Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Part : Requests for Startups | Y Combinator

Part : Token & Token Usage | DeepSeek API Docs

Part : Cua is Docker for Computer-Use AI Agents

Part : [2504.07139] Artificial Intelligence Index Report 2025

Part : Gemma 3 QAT Models: Bringing state-of-the-Art AI to consumer GPUs

Part : DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning | Nature

Part : A foundation model to predict and capture human cognition | Nature

Part : Large language models are proficient in solving and creating emotional intelligence tests | Communications Psychology

Part : Everything About Transformers "Everything About Transformers"