AI Game DevTools (AI-GDT)
Section: Game (World Model & Agent) · AI Town is a virtual town where AI characters live, chat and socialize.
Entry
Appears in 4 awesome lists
Deployable starter kit for building virtual towns where AI characters live, chat and socialize. Inspired by Stanford's Generative Agents research with persistent agent memory and social interactions. MIT licensed.
Section: Game (World Model & Agent) · AI Town is a virtual town where AI characters live, chat and socialize.
Section: Autonomous LLM Agents · A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Section: Multi-Agent Simulation Projects · A deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
Section: 4. Agentic AI & Multi-Agent Systems · Deployable starter kit for building virtual towns where AI characters live, chat and socialize. Inspired by Stanford's Generative Agents research with persistent agent memory and social interactions. MIT licensed.
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
(MIT) provides modules for structured outputs at different levels of abstraction, including output parsers for text completion endpoints, Pydantic programs for mapping prompts to structured outputs using function calling or output parsing, and pre-defined Pydantic programs for specific output types.
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while…
Praison AI is a low-code, centralized framework leveraging AutoGen and CrewAI to simplify creating and orchestrating multi-agent systems for LLM applications, emphasizing customization and ease of human-agent interaction github | demo | website
BabyAGI exemplifies an AI-powered task management system utilizing OpenAI and vector databases like Chroma or Weaviate, creating, prioritizing, and executing tasks based on previous outcomes and predefined objectives, with the main function involving an infinite loop where tasks are processed,…