@tejpalvirk
基本信息
Researcher for AI Coding that analyzes task complexity and runs deep research (STORM) to decompose complex tasks into subtasks, as an MCP Server or CLI.
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Task Researcher is a Python task management system designed for AI-driven development. It integrates in-depth research capabilities using the knowledge-storm library to break down complex projects, generate tasks, and leverage automated research to inform implementation details. It provides both a command-line interface (CLI) and a Model Context Protocol (MCP) server.
Install via clone and Poetry, configure a .env file with LLM and search API keys, then use the task-researcher CLI command or run task-researcher serve-mcp to start the MCP server over stdio transport. Clients like Claude Desktop connect by editing their claude_desktop_config.json.
`expand --research` triggers the full STORM-based workflow, performing live web searches to inform subtasks. `analyze-complexity --research-hint` modifies the prompt to ask the primary LLM to leverage its internal knowledge more deeply without any live search.
Python 3.10+, an API key for at least one supported LLM provider (e.g., Anthropic, Google Gemini, OpenAI), and the `knowledge-storm` library. A search engine API key is required for the `--research` feature and the `research-topic` command.
Task data is stored locally in a `tasks/tasks.json` file following Pydantic models. The file includes a meta section and a list of task objects with dependencies, phases, and subtasks.
All credentials are set in a `.env` file. Required variables include `LLM_MODEL`, the provider's API key (e.g., `ANTHROPIC_API_KEY`), `STORM_RETRIEVER`, and the corresponding search API key (e.g., `BING_SEARCH_API_KEY`).
The MCP server uses stdio transport by default. It exposes tools like `parse_inputs`, `expand_task`, and `research_topic`, as well as resources such as `tasks://current` and `report://complexity`.
Multiplayer coding in the agentic era through an MCP server for real-time codebase sync between your agents.
Your own LinkedIn, WhatsApp, Instagram, Telegram, Email and Calendar accounts, usable from any agent — search, read and act on your own accounts.
One MCP connection for all your Gmail, Google Calendar, Drive and Contacts accounts, Slack workspaces and Notion — free.
Buzzmark is a ghostwriter that writes, plans and schedules social media posts for founders and growing businesses. It reads your website and products first, so the first draft already sounds like you, and it keeps learni
Projects, tickets, time and budgets for agencies. Ask about your week, book time, run stopwatches and work on tickets — with exactly the access you have in docket.
评论