
Agent Never Give Up
io.github.askman-dev由 GitHub 账号 askman-dev 发布v0.1.0更新于 Oct 24, 2026
An escape guide for coding agents, providing structured thinking tools to help agents unstick.
概览
为编程智能体提供结构化的“脱困”协议:按场景返回元认知提示,帮助重新锚定目标并换用新策略。
- 可以做什么
- 针对具体卡点调用场景工具,例如循环推理、反复修复失败、需求缺失、目标丢失、任务范围蔓延、剩余工作被遗忘、同一策略反复失败。
- 发现更多场景并获取任意场景提示(核心或扩展),包括分析过久、验收标准不清、抽象层级不当、约束互相冲突、环境限制阻塞。
- 返回结构化 Markdown 协议,重新锚定目标、总结失败并给出新策略,支持静态与采样两种模式。
- 适用场景
- 当你在 Cursor、Claude Desktop、Cline 或 Windsurf 中运行编程智能体,希望它在陷入循环、反复修复失败或分析瘫痪时自行恢复,而不是把问题交回给你时,值得添加。
- 运行要求
- README 描述的是在客户端配置中添加的云端 HTTP MCP 端点,无需本地安装、账号或密钥。但清单列出的是通过 stdio 运行的本地 npm 包,安装前请确认实际采用哪种形式。
安装
在 SourceWeft 中
- 打开 控制台中的 Agent Never Give Up,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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:
Features
- Remote MCP server at
/mcpendpoint (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 logicbug-fix-always-failed– for repeated failed bug fix attemptsmissing-requirements– for unclear or missing requirementslost-main-objective– for when current actions feel disconnected from the original goalscope-creep-during-task– for when changes expand beyond the original task scopelong-goal-partially-done– for multi-step tasks where remaining work is forgottenstrategy-not-working– for when the same approach fails repeatedly
- Extended scenarios (discovered via
list_scenarios, accessed viaget_prompt):analysis-too-long– for excessive analysis timeunclear-acceptance-criteria– for undefined acceptance criteriawrong-level-of-detail– for working at wrong abstraction levelconstraints-cant-all-be-met– for conflicting requirements or constraintsblocked-by-environment-limits– for environmental blockers vs logic problems
- Core scenarios (auto-registered as direct MCP tools):
- 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
staticandsamplingmodes - 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
- Open Cursor Settings > MCP.
- Click + Add new global MCP server.
- Use the following configuration (or edit your
~/.cursor/mcp.jsonfile directly):
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:
Install in Cline
- Open Cline and click the MCP Servers icon (☰).
- Select the Remote Servers tab (if available) or click Configure MCP Servers.
- Edit the
cline_mcp_settings.jsonfile to include:
Install in Windsurf
- Open Windsurf.
- Go to File > Settings > Configure MCP Servers (or edit
~/.codeium/windsurf/mcp_config.json). - Add the server configuration:
Development
To contribute to this project or run a local instance:
The local server will be available at http://localhost:8787/mcp.
Contributing Prompts
Prompts are organized in two tiers within the prompts/ directory:
Prompt File Format
Each tool.md file follows a simple markdown format with YAML frontmatter and a single protocol body:
Key principles:
- The
descriptionexplains 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):
- Create a new directory:
prompts/core/{scenario_name}/(must match/^[a-z0-9]+(-[a-z0-9]+)*$/). - Add a
tool.mdfile following the format above. - Run
npm run generate:scenariosto regenerate types and discovery data.
Extended scenarios (accessible via get_prompt):
- Create a new directory:
prompts/extended/{scenario_name}/(same naming rules as above). - Add a
tool.mdfile following the format above. - Run
npm run generate:scenariosto regenerate types and discovery data.
Deploy
After deployment, your MCP endpoint will be:
https://agent-never-give-up-mcp.<account>.workers.dev/mcp
License
MIT
来源:README.md,提交 be62b53
工具
0版本历史
1- v0.1.0最新Sep 16, 2026
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