3 个仓库
Awesome GitHub RepositoriesTask Completion Sequences
Defining specific patterns of tool calls or responses that signal a task is finished.
Distinct from Task Completion Callbacks: Focuses on the sequence of content that triggers completion, not a functional callback executed after completion.
Explore 3 awesome GitHub repositories matching development tools & productivity · Task Completion Sequences. Refine with filters or upvote what's useful.
Awesome Task Completion Sequences GitHub Repositories
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- gothenburgbitfactory/taskwarrior
GothenburgBitFactory/taskwarrior
5,906在 GitHub 上查看Taskwarrior is a command-line task manager that lets you create, modify, filter, and complete to-do items directly from the terminal. It stores all tasks in a single plain-text file for portability and manual editing, and includes a custom expression language for selecting tasks by status, priority, tags, and date ranges. The tool distinguishes itself through several integrated capabilities. It computes a numeric urgency score for each task based on weighted factors like age, tags, and due date to determine ordering. A recurrence template engine generates new task instances from a template af
Allows users to mark tasks as complete, recording the completion date for tracking progress.
C++gtdtask-managertaskwarrior - ysymyth/react
ysymyth/ReAct
4,011在 GitHub 上查看ReAct 是一个用于大语言模型的代理工作流模板和提示框架。它实现了一种逻辑模式，将思维链推理与外部工具执行集成，以解决复杂的、多步骤的任务。 该框架使用交错的推理和行动逻辑，强制模型在执行行动之前记录其内部思维过程。这种规划和行动的循环允许系统与外部 API 或数据库交互，并将真实世界的数据注入回模型上下文中以细化推理路径。 该项目通过结合观察反馈集成与提示驱动的执行逻辑，涵盖了自主任务执行和代理编排。这确保了持续的思考、行动和观察循环，从而在无需持续人工输入的情况下实现目标。
Uses structured natural language templates to orchestrate a repeating cycle of thinking, acting, and observing.
Jupyter Notebook - langroid/langroid
langroid/langroid
3,894在 GitHub 上查看Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist
Executes a managed loop that continues processing agent turns until predefined completion signals are met.
Pythonagentsaichatgpt
