A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.
progressive-disclosure 开源项目推荐(101 个)
progressive-disclosure 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 101 个仓库代理技能的权威资源——模块化能力革新人工智能代理架构
An instruction layer for AI coding agent
A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
该项目在 GitHub 上没有填写描述
🌿 Prune your AI agent's context window. Reduce token usage by 70-95% with hierarchical memory. Replace flat MEMORY.md with a bonsai-shaped domain tree. Progressive disclosure, zero dependencies. Works with OpenClaw and any LLM agent framework.
Palestra técnica sobre Spec-Driven Development (SDD) com GitHub Copilot
利用渐进披露优化超大容量 CLAUDE.md 文件的Claude Code技能
Persistent project-scoped knowledge base for Claude Code and Codex: quick and deep research depths, contrarian pass, source-independence rules measured on DeepResearch Bench II. Tested end to end on Haiku agents and a local 35B under noob-cli. Installs via npx skills add, /plugin install, codex marketplace, or git clone.
Progressive tool discovery for DeepSeek Harness — tiny stable surface, searchable catalog, real pipeline execution, context cache intact.
Progressive file disclosure for agentic AI - explore files hierarchically with plugin-based analyzers
Search 1,000 MCP tools through two interfaces in DeepSeek Harness. Load exact schemas on demand and keep structured results usable across tool calls.
Opt-in Codex Skill and plugin for reliable coding: reactive failure recovery, elastic agent teams, task DAGs, one canonical writer, and assured delivery.
Reasoning layer for the official DeepSeek Harness: every request stays on native max effort, with isolated Flash/Vision/Pro depth controls, stability axes and reasoning toolboxes built above it. Delivered build only; commercial use open, reverse/modify/extract closed.
把 REA 的逆向工程 MCP 工具全部收进按需加载的功能族:默认只摆出少量元工具,其余工具仍可随时检索与调用,省下绝大部分工具上下文;功能族热切换无需重启 DSH。自带更新与体检:查本仓库与 REA 上游更新、把新工具自动归类、提醒本机缺哪些工具。
Desktop app (Tauri 2 + SolidJS) to compose Claude Code workspaces with curated skill packages, MCP servers, hooks, commands & CORE-documenten — OpenAEC Foundation
A shared, resumable AI development workflow backed by project-local specs, rules, and change records. Skills guide agents; the CLI handles deterministic steps.
An AI skill for estimating AI-assisted and hybrid human+agent development work. Research-backed formulas. PERT statistics. Calibration feedback loops. Zero dependencies.
Progressive disclosure retrieval for long-horizon AI agents over personal knowledge bases. Three-tier model: hot cache → FTS5 index → full read. Local-first, zero dependencies.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/progressive-disclosure。
- 该话题在 GitHub 上共有 101 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4426 Star,覆盖 5 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。