Agent frameworks

A desktop AI assistant that automatically routes each task to the best-fitting model across providers such as OpenAI and Anthropic, with built-in office file generation, browsing, and coding tools.

• Agent frameworks

A Python framework for building LLM agents and multi-agent systems, with tools, memory, retrieval, guardrails, human-in-the-loop review, and a built-in run debugger.

• Agent frameworks

An open protocol and set of SDKs for asynchronous collaboration between AI agents over ordinary mailbox infrastructure, using SMTP, JMAP, and structured headers.

• Agent frameworks

A framework for designing and running AI personas that post, reply, and converse inside a simulated social media feed, for social simulation, games, and narrative generation.

• Agent frameworks

A multi-agent AI task orchestrator, styled as an autonomous agent arena, where agents with distinct personalities and a skill-score metric form alliances, compete for resources and log every decision, integrating with coding agent CLIs such as Cursor.

• Agent frameworks

An AWS sample multi-agent chat platform, built on Amazon Bedrock AgentCore and serverless TypeScript services, letting a team create, customize and share AI agents, with preset agents, event-driven triggers and extensible tools.

• Agent frameworks

An open-source Python cost controller for AI agent loops that measures real-time convergence and stops or rolls back a loop once it has converged, instead of a fixed iteration cap, with adapters for LangGraph, CrewAI, AutoGen and Claude Agent SDK.

• Agent frameworks

The official SDK for SAP AI Core, SAP Generative AI Hub and the Orchestration Service, published as a set of TypeScript and JavaScript packages covering chat completion, foundation models, LangChain clients, orchestration, document grounding and prompt registry.

• Agent frameworks

A production-ready Next.js template for building AI agents with LangGraph.js, featuring dynamic Model Context Protocol tool loading from a web UI, human-in-the-loop tool approval, persistent PostgreSQL-backed conversation memory, and real-time streaming responses.

• Agent frameworks

A Python framework that couples large-language-model reasoning with an evolutionary loop to automatically invent, mutate and benchmark optimization algorithms, with an in-the-loop hyperparameter-optimization mode and niching strategies to keep a diverse population of solutions.

• Agent frameworks

An open simulation stack for LLM and vision-language-model driven embodied agents in large 3D environments, combining a FastAPI and LangGraph backend with a Cesium-powered Unreal Engine 5.5 plugin for heterogeneous simulated vehicles, drones, robots and other actors.

• Agent frameworks

An enterprise AI agent platform on LangGraph and LangChain separating a governance control plane, covering auth, project management and audit, from an agent runtime handling graph orchestration, model assembly, tools, MCP and skills.

• Agent frameworks

A reference architecture for running a council of AI coding agents such as Claude, OpenCode and Crush across one codebase with work-queue delegation, automated PR review and hardened CI, alongside research packages for sleeper-agent detection.

• Agent frameworks
• Security

A TypeScript and JavaScript library of small, composable building blocks for LLM-powered functions, including prompt templates, output parsers, conversation state and provider-agnostic calls across OpenAI, Anthropic, xAI, Google, AWS Bedrock, Ollama and DeepSeek.

• Agent frameworks

A full-stack multi-agent chat application built with React, TypeScript and LangGraph.js, offering a deep researcher, a chat assistant, a math solver and an MCP tool-calling agent behind a gateway with streaming, image input and human-in-the-loop confirmation.

• Agent frameworks
• MCP servers

A persistent, multi-role runtime for long-horizon AI research and engineering, splitting planning, execution and read-only review across Manager, Planner, Engineer and Reviewer roles so work can pause, be checked and resume for hours unattended.

• Agent frameworks

A TypeScript framework for loop engineering that runs an agent toward a stated goal in rounds, with a separate skeptical, read-only verify agent deciding when the goal is actually met.

• Agent frameworks
• AI evals

A complete AI agent runtime with model routing, streaming, web search, MCP support and code and document tooling, usable as an embedded Python library, a sidecar service, a remote SDK, or a full self-hosted workspace.

• Agent frameworks

A LangGraph-based production framework that combines visual workflow graphs with code-first agent loops, and transpiles Dify's exported workflow format into runnable, version-controllable Python.

• Agent frameworks
• Workflow automation

The code repository for a Packt book teaching design patterns for building production multi-agent GenAI systems, covering RAG, fine-tuning, LLMOps and the Agent-to-Agent protocol.

• Agent frameworks
• Books

A TypeScript multi-agent orchestration framework implementing a full goal-plan-execute-evaluate-replan-output lifecycle, with adaptive model routing and a real-time dashboard.

• Agent frameworks

A zero-dependency Ruby runtime for building agentic AI applications, with a single API spanning more than 14 model providers and concurrent tool execution.

• Agent frameworks

An experimental autonomous AI agent with a multimodal cognitive architecture, built-in voice and face recognition, and pluggable tools, designed to act on its own initiative rather than only respond to commands.

• Agent frameworks

SDKs, a CLI and an MCP server for publishing a local Python or TypeScript agent to a network where other developers can discover, call, stream from and pay for it.

• Agent frameworks