FlowiseAI/Flowise
Build AI Agents, Visually (⭐ 50482)
Build AI Agents, Visually (⭐ 50482)
They can deny the truth all they want. We, the people, know who they are under those masks. They’re too afraid to face the communities they terrorize, they’re afraid of the collective power we all...
These dumb fucking fucks shouldn't be within six miles of a weapon. As a former Army NCO I would fucking beat my soldier's stupid fucking hollow ass skull into the pavement if I saw one of them bran...
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Which AFC team could use Malik Willis' services? Should the Bills make a play for a No. 1 receiver? Nick Shook provides one team fit for four notable free agents. Plus, two trades that should happen.
Five (5) 1.7oz Ries bottles fit comfortably. We know TSA agents can vary on how strict they follow requirements city by city, but our large bottles carry up to 3.4 oz and include an embossed label on …
NFL teams have until 4 p.m. ET on Tuesday to decide whether to use the franchise tag mechanism on a player or let their free agents head toward the open market.
Clarifying agents are used to remove suspended solids from liquids by inducing flocculation, causing the solids to form larger aggregates that can be easily
MarinaBox is a toolkit for creating and managing secure, isolated environments for AI agents (⭐ 143)
Mechanism design is concerned with settings where a policymaker (or social planner) faces the problem of aggregating the announced preferences of multiple agents into a collective (or social), system-wide decision. One of the most important ways for...
Building an embodied agent system with a large language model (LLM) as its core is a promising direction. Due to the significant costs and uncontrollable factors associated with deploying and training such agents in the real world, we have decided to...
In the rapidly evolving field of digital libraries, the development of large language models (LLMs) has opened up new possibilities for simulating user behavior. This innovation addresses the longstanding challenge in digital library research: the sc...
Jan 15, 2026 · From shrinking entry-level roles to AI agents entering the workplace, here are some of our must-read labour market stories from the past 12 months.
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Reinforcement learning (RL) agents under partial observability often condition actions on internally accumulated information such as memory or inferred latent context. We formalise such information-conditioned interaction patterns as behavioural depe...
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Large Language Models (LLMs) have advanced autonomous agents' planning and decision-making, yet they struggle with complex tasks requiring diverse expertise and multi-step reasoning. Multi-Agent Debate (MAD) systems, introduced in NLP research, addre...
A JavaScript repository for integrating ElevenLabs Conversational AI agents with Twilio to handle both inbound and outbound calls. This integration supports sending custom parameters for personalised conversations. (⭐ 135)
A constrained informationally efficient market is defined to be one whose price process arises as the outcome of some equilibrium where agents face restrictions on trade. This paper investigates the case of short sale constraints, a setting which des...
We introduce friend- and enemy-oriented hedonic games with strangers (FOHGS and EOHGS respectively), two classes of hedonic games wherein agents are classified as friends, enemies, or strangers under the assumption that strangers will become either f...