Checkout Reflex: https://
github.com/reflex-dev/ref
lex
… Try out Reflex Build here:
@sumanth_077
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Reflex Build: Open-Source Framework for Web Applications
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Reflex Build: Create LLM Apps in Python with Prompts
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Build LLM apps in Python with just a prompt! Reflex is a Python library for building full-stack web apps in pure Python. With the new Reflex Build, you can create internal tools and dashboards using AI with just a single prompt. Here’s why this is a game changer: Reflex Build
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Motia: Unified Backend Framework for Building AI Agents
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A unified backend framework to build and scale AI Agents!
— Sumanth (@Sumanth_077) 21 octobre 2025
Motia is a backend framework that brings together agents, APIs, background jobs, streams, and workflows into a single core primitive.
Everything is event driven and observable.
It’s 100% Open Source. pic.twitter.com/InYzshW8ZEA unified backend framework to build and scale AI Agents! Motia is a backend framework that brings together agents, APIs, background jobs, streams, and workflows into a single core primitive. Everything is event driven and observable. It’s 100% Open Source.
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Andrew Ng Releases Free Course on Agentic AI Systems
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Andrew Ng just dropped a new free course on Agentic AI! This course teaches you how to build agentic systems that take action through iterative, multi-step workflows. 100% Free
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Open Agent Builder: Visual Workflow for AI Agents
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Build, test, and deploy AI agent workflows with a visual no-code interface! Open Agent Builder is a visual workflow builder for creating complex AI agent workflows using a drag-and-drop interface 100% Open Source.
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Graph-based long-term memory maintains consistent context across sessions
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It tracks entities and relations through a graph structure, so updates merge context instead of replacing it. That’s what keeps long-term memory consistent over multiple sessions.
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Mem0: Open-Source Memory Layer for AI Agents
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Build AI agents with scalable long-term memory! Mem0 is a fully open-source memory layer that gives AI agents persistent, contextual memory across sessions. Without memory, agents reset after every interaction, losing context and continuity, which limits their usefulness in
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SQL meets semantic understanding flexibility innovation
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Love how this keeps the control of SQL while adding the flexibility of semantic understanding. Great share Akshay!
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DPT-2 Document Pre-Trained Transformer Model Revolutionizes Complex Table Parsing
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The new Document Pre-Trained Transformer (DPT-2) model in ADE is a game changer. It parses complex tables with merged cells, multi-level headers, and irregular grids, with spatial grounding and bounding boxes for traceability. GitHub Repo:
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ade-python: Transform Complex Documents into LLM-Ready Data
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Turn complex and messy documents into LLM-ready data! ade-python is a Python library for Agentic Document Extraction (ADE) that outputs layout-aware structured JSON from visually complex documents.