ai

Research-grade Self-Correcting RAG agent built with LangGraph that retrieves knowledge, generates answers, evaluates grounding/relevance/completeness, and iteratively self-improves with confidence scoring and memory.

Agent Framework For Fintech and Banks

ReactJS Chat interface for langchain4j application

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

This repository contains a Python script that uses a pre-trained NBART (Neural Bidirectional AutoRegressive Transformer) model to perform multi-lingual translation tasks between several languages. The model was trained on multiple language pairs using data parallelism, allowing it to learn representations across all languages simultaneously.

mcp-use is the framework for MCP with the best DX - Build AI agents, create MCP servers with UI widgets, and debug with built-in inspector. Includes client SDK, server SDK, React hooks, and powerful dev tools.

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A curated list of best ai tools

🔄 Optimize model loading in ComfyUI with flexible node connections and controlled sequences for better performance and memory management.

Agent Collaboration Hub: Multi-Agent System (PM/SA/PG) for Requirements Analysis & Code Generation.

Interactive AI agent built with Ollama that enables conversational interactions with web search capabilities. Features multi-turn conversations, real-time web research, and robust error handling using local LLM models.

Zero-token execution layer for AI agents — define workflows once, execute forever. DAG engine with reasoning nodes, event sourcing, scheduling, and secret vault via 6 MCP tools over SSE.

Convenience layer over Semantic Kernel for Python

🎭 A production-grade multi-agent AI framework for writing professional novels — with persistent memory, automated continuity checking, and a 5-agent editorial pipeline.

Website for the Agent Framework Dev Project - https://agentframework.dev

langgraph graphic design tool

Epistemic dataset generation engine. 38 AI agents deliberate through multi-round Geth Consensus — producing auditable reasoning traces for AI training. Parliament System, Knowledge Grounding, zero-trust security.