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Repo for "Adaptation of Agentic AI"
Build effective agents using Model Context Protocol and simple workflow patterns
MICA (Multiple Intelligent Conversational Agents) is designed to simplify the development of customer service bots.
A curated list of papers related to constrained decoding of LLM, along with their relevant code and resources.
Effortlessly secure your AI agents and AI-powered workflows — from prototype to production. Get easy-to-use identity, credential, and access management built for fast-moving AI developers.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
curated collection of real world applications that use LLMs
Code snippets to reproduce MCP tool poisoning attacks.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Rust implementation of the Messaging Layer Security (MLS) protocol
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
No fortress, purely open ground. OpenManus is Coming.
A Kubernetes deployable instance of GroundX for document parsing, storage, and search.
Agent S: an open agentic framework that uses computers like a human
A tool for secrets management, encryption as a service, and privileged access management
Inspect: A framework for large language model evaluations
The conversational control layer for customer-facing AI agents - Parlant is a context-engineering framework optimized for controlling customer interactions.
Production-ready platform for agentic workflow development.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
🐍 The official Python client library for Google's discovery based APIs.