2 个仓库
Systems that generate and execute multi-step action plans for AI agents without interactive input.
Distinguishing note: No candidate in the shortlist covers AI agent action planning; all candidates are database query planning related.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Action Plan Generators. Refine with filters or upvote what's useful.
CogVLM is a multimodal large language model designed to integrate visual and textual data for reasoning about images and generating natural language. It functions as a visual question answering system that analyzes image content to provide detailed descriptions or answer specific questions. The project includes a visual grounding model capable of mapping text descriptions to precise bounding box coordinates within an image. It also features a vision-based automation agent that analyzes screen captures to generate execution plans and interaction coordinates for software interfaces. The system
Analyzes user interface screenshots to generate a logical sequence of interaction steps and coordinates for automation.
PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo
Generates and executes multi-step action plans for AI agents without interactive input.