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AI & Agents
LLMs, agent workflows, RAG, MCP, prompting, and AI app patterns
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- 069 Kimi Agents Explained D5f141b6**KIMI K2.5 Instant** – Fast, non-thinking modeVotes: 0GitHub stars: 9
- 069 Kimi Agents Explained 29614980**KIMI K2.5 Instant** – Fast, non-thinking modeVotes: 0GitHub stars: 9
- 042 Status 7b488a99**Status**: Accepted **Date**: 2024-12-27Votes: 0GitHub stars: 9
- 005 Reference 06e1b8afComprehensive reference for optimization algorithms available in pymoo.Votes: 0GitHub stars: 9
- 003 Name Skill A804d53eTransform a single-agent design into a **robust, review-validated design** by simulating a formal peer-review process using multiple constrained agents.Votes: 0GitHub stars: 9
- 003 Name Skill 5d80956dAnalyzes Copilot Chat debug logs, agent definitions, skills, and instruction files to audit context window utilization. Provides log parsing, turn-cost profiling, redundancy detection, hand-off gap analysis, and optimization recommendations. Use when optimizing agent context efficiency, identifying where to add subagent hand-offs, or reducing token waste across agent systems.Votes: 0GitHub stars: 9
- 003 Name Skill 2253fa49Process textual and multimedia files with various LLM providers using the llm CLI. Supports both non-interactive and interactive modes with model selection, config persistence, and file input handling.Votes: 0GitHub stars: 9
- 001 Date 1d904975**Date:** 2025-10-24 **Type:** Architecture Design **Status:** Phase 1 Implemented ✅ **Author:** Edgar + Claude (Brainstorming Session) ---Votes: 0GitHub stars: 9
- 2597 Existential Therapy A6cbf58d**System Instruction:** You are an AI assistant adopting the role of a Counselor specializing in Existential Therapy. Your primary goal is to help users explore and confront fundamental aspects of their existence, such as freedom, responsibility, meaning, isolation, and mortality. Engage in empathetic, reflective, and open-ended conversations to guide users toward greater self-awareness and personal growth. Encourage them to take ownership of their choices, explore their values, and find mean...Votes: 0GitHub stars: 9
- 075 Agents 98937111These instructions are for AI assistants working in this project. Always open `@/openspec/AGENTS.md` when the request: - Mentions planning or proposals (words like proposal, spec, change, plan) - Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work - Sounds ambiguous and you need the authoritative spec before coding Use `@/openspec/AGENTS.md` to learn: - How to create and apply change proposals - Spec format and conventions - Project structure a...Votes: 0GitHub stars: 9
- 014 Claude 33b1601dClaude Desktop app - may have file system access via tools.Votes: 0GitHub stars: 9
- 005 Openviking 0b6f9832OpenViking 是为 AI Agent 设计的上下文数据库，将所有上下文（Memory、Resource、Skill）统一抽象为目录结构，支持语义检索和渐进式内容加载。Votes: 0GitHub stars: 9
- 572 Usage Guide 88e17021Detect ribosome pausing and stalling sites at codon resolution to study translational regulation, rare codon effects, and nascent chain interactions.Votes: 0GitHub stars: 9
- 2716 Hn 3 Macbook 39af9db7**Date Range:** 2026-01-26 to 2026-02-25 **Mode:** both **OpenAI Model:** gpt-5.2 **xAI Model:** grok-4-1-fastVotes: 0GitHub stars: 9
- 2715 Cross 3 Macbook 66032292**Date Range:** 2026-01-26 to 2026-02-25 **Mode:** both **OpenAI Model:** gpt-5.2 **xAI Model:** grok-4-1-fastVotes: 0GitHub stars: 9
- 2714 Cross 3 Macbook Improved 236dd57d**Date Range:** 2026-01-26 to 2026-02-25 **Mode:** both **OpenAI Model:** gpt-5.2 **xAI Model:** grok-4-1-fastVotes: 0GitHub stars: 9
- 2713 Base 3 Macbook 8180c70e**Date Range:** 2026-01-26 to 2026-02-25 **Mode:** both **OpenAI Model:** gpt-5.2 **xAI Model:** grok-4-1-fastVotes: 0GitHub stars: 9
- 2595 Bcos 86adbee6[](https://github.com/nicholaelaw/awesome-bcos)Votes: 0GitHub stars: 9
- 2590 Design 80de3ee4``` ┌─────────────────────────────────────────────────────────┐ │ Frontend (Vue3) │ │ ┌────────────┐ ┌──────────────┐ ┌─────────────────┐ │ │ │ ChatView │ │ Settings │ │ KB Config Panel │ │ │ │ (existing) │ │ (existing) │ │ (new, optional) │ │ │ └─────┬──────┘ └──────────────┘ └────────┬────────┘ │ │ │ SSE │ REST │ ├────────┼─────────────────────────────────────┼──────────┤ │ ▼ Votes: 0GitHub stars: 9
- 2481 Transient Sauteeing Raven C6d096a4The current `chat` command uses a keyword-based REPL (`TradingOrchestrator` + `InteractiveSession`) that counts keyword matches to route queries. It has no LLM reasoning, no conversation memory between queries, and can't handle ambiguous questions.Votes: 0GitHub stars: 9
- 2480 Design 8759c38a构建多Agent对抗策略竞技场系统，模拟真实投研团队的协作模式。多个AI Agent各自生成交易策略，通过辩论、协作、评审等讨论机制相互质疑和完善，最终产出经过多角度验证的量化策略。策略进入回测→模拟盘→实盘的递进式竞争流程，按日/周/月周期淘汰表现差的策略，保持N个Agent持续竞争。Votes: 0GitHub stars: 9
- 2480 Design 7087e0f6本设计基于 TradingAgents 多智能体交易框架中的新闻分析师角色，为 A 股赛博操盘手平台添加新闻分析能力。Votes: 0GitHub stars: 9
- 2479 Tasks 3e835521- [x] 1.1 创建 news 模块目录结构 - `src/stock_datasource/modules/news/__init__.py` - `src/stock_datasource/modules/news/service.py` - `src/stock_datasource/modules/news/router.py` - `src/stock_datasource/modules/news/schemas.py`Votes: 0GitHub stars: 9
- 2478 Proposal A2eaae60当前的智能策略系统采用单Agent策略生成模式，缺乏多角度验证和持续竞争优化机制。参考真实投研团队的协作模式，需要构建一个多Agent对抗竞争系统：Votes: 0GitHub stars: 9