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Products that do what Flux0 does
A powerful framework for deploying AI agents
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Hey everyone, I made this thing: https://tryflux.ai/. Here's a demo video: https://screen.studio/share/1y2EnC26 Context: I've tried probably 15 different AI apps over the past year. ChatGPT, note-taking apps, productivity apps, all of it. But most of them are just clutter on my iphone. They live in some app I have to deliberately open. And I just... don't. But you know what I open 50 times a day without thinking? iMessage. So out of mild frustration with the "AI app graveyard" on my phone, I built Flux. What it does: - You describe a personality and what…
Jan 2026 · tryflux.ai
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hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
May 2026 · github.com
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2025 · github.com
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Dynamiq is an orchestration framework for agentic AI and LLM applications
2024 · github.com
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2024 · github.com
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We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…
Apr 2026 · github.com
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May 2026 · github.com
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Generative AI applications pose a unique challenge in production. They are computationally intensive and orders of magnitude slower than traditional data-intensive applications. Scaling these applications is further complicated by expensive hardware requirements and GPU shortages. Consequently, developers are scrambling to implement home-grown caching and rate-limiting solutions, which are error-prone and difficult to get right. FluxNinja Aperture delivers a production-grade experience with a purpose-built load management platform that provides rate & concurrency limiting, caching, and…
2024 · fluxninja.com
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Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
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Flux AI Studio is a Free Flux AI Image Generator that provides full access to all the Flux AI model family and additional AI capabilities based on these models. ### Key features: 1. *Access to Flux AI Models*: Use Flux pro, Flux dev, and Flux schnell through user-friendly interface. 2. *Extended AI Capabilities*: Access to additional models fine-tuned on the Flux AI base models. 3. *Text-to-Image Generation*: Create images from text descriptions. 4. *Image-to-Image Generation*: Modify existing images using text prompts. ### Try Flux AI Studio Visit…
2024 · fluxai.studio
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RunAgent eliminates the complexity of AI agent deployment across different frameworks and languages. Today's developers face deployment nightmares with fragmented frameworks (LlamaIndex, LangChain, LangGraph, CrewAI, Letta, Agno, etc.) each requiring different deployment processes, creating unnecessary friction. The Solution: Like MCP (Model Context Protocol), RunAgent provides a standardized approach to agent deployment. Developers simply provide a config file and their agent code - RunAgent handles the rest with REST API and WebSocket (Streaming and non streaming). Our open-source platform…
2025 · github.com
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An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.
23d ago · pinglin.tw
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