Pi extension for delegating tasks to subagents with chains, parallel execution, and TUI clarification
Pi package that adds an interactive ask_user clarification tool.
Prompt clarification extension for pi coding agent
Confidence gate and clarification for agent-mesh routing
TypeScript AI Development Harness - Gestalt psychology-driven requirement clarification
A pi extension that adds an ask_user_question tool for collecting clarification, confirmation, and input through the UI.
**Specify what you want it to build, the AI asks for clarification, and then builds it.**
MCP server for AI-user confirmation and clarification protocol
`@xpert-ai/plugin-clarification` adds an explicit `ask_clarification` tool to an agent and turns that tool call into a controlled clarification point.
MCP tool enabling bidirectional communication between LLMs and humans through clarification requests and real-time thought sharing
clarification
MCP server for Unfold It (https://unfoldit.ai) -- create goals with AI-generated plans, agent-assisted clarification, plan import with enrichment, progress tracking, cohort analytics, and skill assessments via AI assistants
v3.0 Phase 1: Interactive UX Revolution - Sub-agent collective framework with 43 specialized agents, 21 intelligent hooks, interactive clarification, user onboarding, progress tracking, and TDD validation
Vitra Image Creator CLI — brand-kit-aware image generation, editing, translation, resize, and campaign orchestration from the terminal. Wraps @vitra/image-creator-node's agent surface with interactive prompts for clarification gates. See docs/superpowers/
Exposable bits of UI clarification
Pi package for interactive multi-question clarification flows, with a model-callable ask_questions tool and tabbed questionnaire UI.
Exposable bits of UI clarification
> [!CAUTION] > This was a plugin primarily made for myself. I've made it open-source so that other people could use it, but I'm not willing to document everything. If you do need some help / clarification / changes, you can contact me on Discord / Twitter
Shared NLP module for AURA Agent Universal Resource Architecture — intent completeness checking, conversational clarification, and LLM provider abstraction
Shared NLP module for AURA Agent Universal Resource Architecture — intent completeness checking, conversational clarification, and LLM provider abstraction
Automatically built from source by GitHub Actions.
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The MCP Marionette server provides a bridge for AI agents to interact with humans for decision-making, clarification, and session steering. It implements the Model Context Protocol (MCP) to allow agents to pause their execution and wait for human input th
A TUI tool for GitHub PR review, designed for Helix editor users
Automatically generate safe, idiomatic Rust wrapper crates from C/C++ libraries
Nostr-native dispute coordination daemon for the Mostro ecosystem
sql-help: parse SQL text then print any SQL help that we know of, such as optimizations, clarifications. Work in progress.
Pure Rust FLAC demuxer and decoder (a part of project Symphonia).
A SIP/WebRTC voice agent
WHY-layer decision log for AI agents: record options considered, the option chosen, the rationale, and the outcome, then persist as JSONL.
Universal external interface engine for AI agents — 18 protocols, Connection Souls, circuit breakers, encrypted vault
Universal data comprehension engine — understands structure, infers meaning, tracks lineage
Cryptographic identity anchor for AI agents — persistent identity, signed actions, revocable trust
A Rust framework for building AI agents from YAML specifications with trait-based extensibility
A proc-macro crate for deriving AI-oriented JSON templates from Rust structs, capturing doc comments as instructions.
Alpha Version - Predict and Search using Clarifai.
This is the **official** RingCentral SDK for the Ruby programming language. While there are other Ruby SDKs for RingCentral, those are maintained by the community. We're including this clarification to help avoid confusion, as some SDKs have similar names. That said, we truly appreciate and welcome community contributions and alternative SDKs.
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