Agent Never Give Up

io.github.askman-dev由 GitHub 帳號 askman-dev 發布v0.1.0更新於 Oct 24, 2026

An escape guide for coding agents, providing structured thinking tools to help agents unstick.

已驗證STDIO僅桌面開發者工具AI 與機器學習

概覽

AI 產生的概覽

為程式開發智能體提供結構化的「脫困」協定:依情境回傳後設認知提示,協助重新錨定目標並改用新策略。

可以做什麼
  • 針對特定卡點呼叫情境工具,例如循環推理、反覆修復失敗、需求缺失、目標遺失、任務範圍蔓延、剩餘工作被遺忘、同一策略反覆失敗。
  • 探索更多情境並取得任一情境提示(核心或擴充),包括分析過久、驗收標準不明、抽象層級不當、限制彼此衝突、環境限制造成阻塞。
  • 回傳結構化 Markdown 協定,重新錨定目標、彙整失敗並提出新策略,支援靜態與取樣兩種模式。
適用情境
當你在 Cursor、Claude Desktop、Cline 或 Windsurf 中執行程式開發智能體,希望它在陷入迴圈、反覆修復失敗或分析癱瘓時能自行恢復,而不是把問題交回給你時,值得加入。
執行需求
README 描述的是在用戶端設定中加入的雲端 HTTP MCP 端點,無需本機安裝、帳號或金鑰。但清單列出的是透過 stdio 執行的本機 npm 套件,安裝前請確認實際採用哪一種形式。
安裝前請注意
README 稱該託管服務為公開且無驗證,因此提示與情境請求會送往第三方伺服器,請勿在其中放入敏感任務細節。工具本身只回傳指引文字,但智能體可能依此在你的程式碼庫中執行操作。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agent Never Give Up,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Agent Never Give Up MCP

This is a MCP server that acts as a "escape guide" for AI coding agents.

It provides structured thinking protocols to help agents unstuck themselves without human help.

The diagram below illustrates when an agent should call this server and what it receives in return:

mermaid
graph TD    %% 1. The Normal Loop    UserLoop["<b>User Query & Agent Loop</b><br/>(Claude Code / Windsurf / Cursor)<br/>Agent executing tasks..."]
    %% 2. The Problem (Triggers)    subgraph Triggers ["Agent Gets Stuck (Trigger State)"]        direction TB        S1["Circular Reasoning"]        S2["Bug Fix Fails"]        S3["Missing Info"]        S4["Analysis Paralysis"]        S5["Unclear 'Done' State"]    end
    %% Flow: Loop -> Stuck    UserLoop -.->|"⚠️ Detects Issue<br/>(Inner Loop Stall)"| Triggers
    %% 3. The Solution (MCP Call)    subgraph MCP ["Agent Never Give Up MCP"]        direction TB        T1(logic-is-too-complex)        T2(bug-fix-always-failed)        T3(missing-requirements)        T4(analysis-too-long)        T5(unclear-acceptance-criteria)    end
    %% Mapping Triggers to Tools    S1 -->|Call| T1    S2 -->|Call| T2    S3 -->|Call| T3    S4 -->|Call| T4    S5 -->|Call| T5
    %% 4. The Response    MCP -->|Returns| R1["<b>Metacognitive Protocol</b><br/>Structured markdown to:<br/>1. Re-anchor goal<br/>2. Summarize failures<br/>3. Propose NEW strategy"]
    %% 5. The Outcome    R1 --> Result["<b>Autonomous Recovery</b><br/>Agent unblocks itself &<br/>resumes execution<br/>(No Human Hand-off)"]
    %% Cycle back to loop    Result -.->|"Resumes Loop"| UserLoop
    %% Styling    classDef loop fill:#e1f5fe,stroke:#01579b,stroke-width:2px;    classDef trigger fill:#ffebee,stroke:#b71c1c,stroke-width:2px;    classDef tool fill:#fff3e0,stroke:#e65100,stroke-width:2px;    classDef response fill:#e8f5e9,stroke:#1b5e20,stroke-width:2px;        class UserLoop loop;    class S1,S2,S3,S4,S5 trigger;    class T1,T2,T3,T4,T5 tool;    class R1,Result response;

Features

  • Remote MCP server at /mcp endpoint (Streamable HTTP specification compliant)
  • Two-tier scenario organization:
    • Core scenarios (auto-registered as direct MCP tools):
      • logic-is-too-complex – for circular reasoning or over-complicated logic
      • bug-fix-always-failed – for repeated failed bug fix attempts
      • missing-requirements – for unclear or missing requirements
      • lost-main-objective – for when current actions feel disconnected from the original goal
      • scope-creep-during-task – for when changes expand beyond the original task scope
      • long-goal-partially-done – for multi-step tasks where remaining work is forgotten
      • strategy-not-working – for when the same approach fails repeatedly
    • Extended scenarios (discovered via list_scenarios, accessed via get_prompt):
      • analysis-too-long – for excessive analysis time
      • unclear-acceptance-criteria – for undefined acceptance criteria
      • wrong-level-of-detail – for working at wrong abstraction level
      • constraints-cant-all-be-met – for conflicting requirements or constraints
      • blocked-by-environment-limits – for environmental blockers vs logic problems
  • Discovery tools:
    • list_scenarios – list all scenarios with their tier (core/extended)
    • get_prompt – access any scenario (core or extended)
  • Dual mode support: Each tool supports static and sampling modes
  • Community-contributed prompts via markdown files
  • Public and auth-less (v0)
  • Cloudflare Workers deployment

Configuration

Since agent-never-give-up is a cloud-hosted MCP server, no local installation is required. Simply add the server configuration to your preferred AI tool.

Install in Cursor

  1. Open Cursor Settings > MCP.
  2. Click + Add new global MCP server.
  3. Use the following configuration (or edit your ~/.cursor/mcp.json file directly):
json
{  "mcpServers": {    "agent-never-give-up": {      "type": "http",      "url": "https://agent-never-give-up-mcp.askman.dev/mcp",      "note": "A 'Swiss Army knife' toolset to help agents recover from getting stuck"    }  }}

Install in Claude Desktop

To configure the server for Claude Desktop, edit the configuration file located at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following entry to the mcpServers object:

json
{  "mcpServers": {    "agent-never-give-up": {      "type": "http",      "url": "https://agent-never-give-up-mcp.askman.dev/mcp"    }  }}

Install in Cline

  1. Open Cline and click the MCP Servers icon (☰).
  2. Select the Remote Servers tab (if available) or click Configure MCP Servers.
  3. Edit the cline_mcp_settings.json file to include:
json
{  "mcpServers": {    "agent-never-give-up": {      "type": "http",      "url": "https://agent-never-give-up-mcp.askman.dev/mcp",      "note": "A comprehensive suite of tools designed to keep agents persistent and unstuck"    }  }}

Install in Windsurf

  1. Open Windsurf.
  2. Go to File > Settings > Configure MCP Servers (or edit ~/.codeium/windsurf/mcp_config.json).
  3. Add the server configuration:
json
{  "mcpServers": {    "agent-never-give-up": {      "type": "http",      "url": "https://agent-never-give-up-mcp.askman.dev/mcp"    }  }}

Development

To contribute to this project or run a local instance:

bash
# Install dependenciesnpm install

The local server will be available at http://localhost:8787/mcp.

Contributing Prompts

Prompts are organized in two tiers within the prompts/ directory:

prompts/├── core/                           # Core scenarios (auto-registered as tools)│   ├── logic-is-too-complex/│   │   └── tool.md│   ├── bug-fix-always-failed/│   │   └── tool.md│   └── missing-requirements/│       └── tool.md└── extended/                       # Extended scenarios (via list_scenarios + get_prompt)    ├── analysis-too-long/    │   └── tool.md    └── unclear-acceptance-criteria/        └── tool.md

Prompt File Format

Each tool.md file follows a simple markdown format with YAML frontmatter and a single protocol body:

markdown
---name: scenario_nametitle: "Scenario Title"description: "When / why the agent should call this tool, from the agent's perspective"---
When you notice [the trigger condition], follow this exact protocol step by step.
## 1. First step title
1. Action item one.2. Action item two.3. Action item three.
Keep it concrete.
## 2. Second step title
...
## 3. Third step title
...

Key principles:

  • The description explains when to use the tool (the trigger condition)
  • The body is a single protocol with numbered sections
  • Each section has 2–6 concrete steps
  • Focus on how to think, not domain-specific details
  • No system prompt / user prompt template sections—just one actionable protocol

See prompts/AGENTS.md for detailed guidance on writing effective prompts.

Adding a New Scenario

Scenarios are auto-discovered from the prompts/ tree and the generated files in src/prompts/generated-scenarios.ts and src/types/generated-scenarios.ts. You do not need to manually edit TypeScript files—just add the prompt and regenerate.

Core scenarios (auto-registered as tools):

  1. Create a new directory: prompts/core/{scenario_name}/ (must match /^[a-z0-9]+(-[a-z0-9]+)*$/).
  2. Add a tool.md file following the format above.
  3. Run npm run generate:scenarios to regenerate types and discovery data.

Extended scenarios (accessible via get_prompt):

  1. Create a new directory: prompts/extended/{scenario_name}/ (same naming rules as above).
  2. Add a tool.md file following the format above.
  3. Run npm run generate:scenarios to regenerate types and discovery data.

Deploy

bash
# Deploy to Cloudflare Workersnpm run deploy

After deployment, your MCP endpoint will be: https://agent-never-give-up-mcp.<account>.workers.dev/mcp

License

MIT

來源:README.md,提交 be62b53

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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