{"data":{"slug":"agi-merge-waggle-dance","name":"waggle-dance","tagline":"Knowledge work automation with AI agents","github_url":"https://github.com/agi-merge/waggle-dance","owner":"agi-merge","repo":"waggle-dance","owner_avatar_url":"https://avatars.githubusercontent.com/u/131612568?v=4","primary_language":"TypeScript","stars":172,"forks":12,"topics":["agent","agent-based-framework","ai","autogpt","langchain","langchain-js","llm","nextjs","openai","weaviate","workflow-automation"],"archived":true,"github_pushed_at":"2023-12-17T23:18:51+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/agi-merge-waggle-dance","markdown_url":"https://www.graphcanon.com/tools/agi-merge-waggle-dance.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agi-merge-waggle-dance","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agi-merge-waggle-dance","description":"Knowledge work automation with AI agents","homepage_url":"https://waggledance.ai","license":"MIT","open_issues":0,"watchers":3,"ai_summary":null,"readme_excerpt":"## Quick Start\n\n- Try the cloud preview ↗\n- [Join the Discord](https://discord.gg/ttt9YmhQU6)\n- ⭐️ Help with algorithm: star this repo\n\nYou can also build and deploy yourself! However, [you must configure your environment](#%EF%B8%8F-configure-your-environment).\n\n- Deploy to Vercel\n- [Docker Compose](#-docker)\n- [Build and run from source](#-running-locally-and-development)\n\n**waggledance.ai** is an experimental application focused on achieving user-specified goals. It provides a friendly but opinionated user interface for building agent-based systems. The project focuses on explainability, observability, concurrent generation, and exploration. Currently in pre-alpha, the development philosophy prefers experimentation over stability as goal-solving and Agent systems are rapidly evolving.\n\nwaggledance.ai takes a goal and passes it to a **Planner Agent** which streams an execution graph for sub-tasks. Each sub-task is executed as concurrently as possible by **Execution Agents**. To reduce poor results and hallucinations, sub-results are reviewed by **Criticism Agents**. Eventually, the **Human in the loop (you!)** will be able to chat with individual Agents and provide course-corrections if needed.\n\nIt was originally inspired by [Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT), and has concurrency features similar to those found in [gpt-researcher](https://github.com/assafelovic/gpt-researcher). Therefore, core tenets of the project include _speed_, _accuracy_, _observability_, and _simplicity_. Additionally, many other agentic systems are written in Python, so this project acts as a small counter-balance, and is accessible to the large number of Javascript developers.\n\nAn (unstable) API is also available via [tRPC](packages/api/src/root.ts) as well an API [implemented within Next.js](apps/nextjs/src/pages/api). The client-side is mostly responsible for orchestrating and rendering the agent executions, while the API and server-side executes the agents and stores the results. This architecture is likely to be adjusted in the future.\n\n

\n\n\n \n \n \"bar\"\n\n\n

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