1331 个
专注后端的 fullstack 与 applied AI 开发。基于 LLMs 与 agents 构建有趣的项目，执着于 clean architecture 与零缺陷代码的生产部署。Backend-focused fullstack & applied ai dev. Building cool stuff with LLMs & agents. Obsessed with clean architecture & shipping no-bug code to prod.
通过单一 MCP 服务器，将任务分派给 Codex、Claude 与 OpenCode。Delegate work to Codex, Claude, and OpenCode through one MCP server
面向 AI 生成可执行方案的 verifier-first 运行时，支持独立验证、对比与检索。A verifier-first runtime for independently verifying, comparing, and searching AI-generated executable solutions.
搜索 Google Scholar，使用 OpenAlex 增强论文信息，并在本地构建结构化文献综述Search Google Scholar, enrich papers with OpenAlex, and build structured literature reviews locally.
基于机器学习的计算机视觉 Agentic AI 系统，用于规模化树木作物育种项目Agentic AI system for machine learning-based computer vision to scale tree crop breeding programs
Amadeus（来自《Steins;Gate 0》的 AI 助手）适配 DeepSeek Harness。Amadeus (AI assistant from Steins;Gate 0) for DeepSeek Harness
非官方的 MCP server，用于 AI 驱动的 NI Multisim 电路生成、仿真、数据导出与报告。Unofficial MCP server for AI-driven NI Multisim circuit generation, simulation, data export, and reports
使用 AI agent 自动化文献综述，基于结构化协议实现全面研究与高质量报告生成📚 Automate literature surveys with AI agents using a structured protocol for thorough research and insightful report generation.
AI 安全测试——发现 LLM 应用、聊天机器人、AI Agent、MCP 服务器与 RAG 系统中的安全漏洞。对齐 OWASP（LLM、Agentic、MCP）与 NIST AI RMFAI security testing — find security vulnerabilities in LLM apps, chatbots, AI agents, MCP servers, and RAG systems. Mapped to OWASP (LLM, Agentic, MCP) and NIST AI RMF.
插件化形态的 14-Agent 软件公司：在硬性预算上限内规划、构建并对每次变更进行对抗式评审。Markdown + POSIX shell，零运行时依赖。A 14-agent software company in a plugin: plan, build, and adversarially judge every change under hard budget caps. Markdown + POSIX shell, zero runtime deps.
证伪优先的引用核验:论文存在性 / 元数据 / 论点支撑三重检查,可被 Claude Code、Codex、Cursor 以 MCP 调用 · Skeptical citation auditor for agent writing workflows · PyPI: citationguard
面向可信 AI Agent 的开源基础设施，覆盖身份、权限、执行、证据、验证与 Agent 间组网。Open-source infrastructure for trusted AI agents — identity, permissions, execution, evidence, verification and agent-to-agent networking.
证据约束的代码诊断工作台：确定性静态分析拥有源码事实，LLM 只提假设，resolver/validator 决定能否绑定回真实操作——证据不足保持 unknown/abstained，从架构抑制幻觉。已在真实开源项目发现 bug（stunner #89 已被上游确认修复）。Python。
自构建的 AI Agent 框架——多模型 ReAct + 分层缓存友好的上下文 + 异步多 Agent + XML 工作流。CLI 与 WebUI，零 LangChain。An AI agent framework that builds itself — multi-model ReAct + tiered cache-friendly context + async multi-agent + XML workflows. CLI & WebUI, zero LangChain.
AgentServices — AI Agents 的 Premium APIs。加密数据、营销情报、争议解决。基于 Base 的 x402 micropayments。AgentServices — Premium APIs for AI Agents. Crypto data, marketing intelligence, dispute resolution. x402 micropayments on Base.
Vantio Optics — 为 LLM/agent 出站流量提供免费的可观测能力。Sight Loop。设计即盲视。非代理。@vantio/cli 0.3.2 · vantio-agent-sdk 3.0.2Vantio Optics — free observe for LLM/agent egress. Sight Loop. Blind by design. Not a proxy. @vantio/cli 0.3.2 · vantio-agent-sdk 3.0.2
全栈可控的开源 TypeScript SDK，专为 AI agent 设计 ——Apache-2.0 本地运行时、43 个 LLM provider（使用自有 key），以及可选云端。Theo 生态的 Harness 支柱。The open-source TypeScript SDK for AI agents you own end to end — an Apache-2.0 local runtime, 43 LLM providers on your own keys, and an opt-in cloud. The Harness pillar of the Theo ecosystem.
一个可运行的 TypeScript 教程，从零搭建一个极简 DeepSeek 风格 Agent 框架。A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.
2026 终极 AI Coding Agent 连续性工具包——无缝交接与同步。Ultimate AI Coding Agent Continuity Toolkit 2026 - Seamless Handoff & Sync
一切留痕：需求即 issue，决策即审批评论，工作即 PR，理由即该 PR 的记录。协调器将对话中继到 GitHub，并为每个角色派生沙盒化会话，各自仅持有自己的规则集。Everything on the record: a requirement is an issue, a decision is an approval comment, work is a PR, rationale is that PR's record. The orchestrator relays conversation to GitHub and spawns sandboxed role sessions, each with only its own rulebook.
💹 使用 Python 和 CoinGecko API 分析主要加密货币的价格、市值与趋势，辅助投资决策💹 Analyze major cryptocurrencies' prices, market caps, and trends using Python and the CoinGecko API for informed investment decisions.
面向 AI Agent 的 Stellar MCP server：一个经认证的统一网关，汇聚官方文档、实时生态数据、社区情报与经过验证的操作手册。Stellar MCP server for AI agents: one authenticated gateway to official docs, live ecosystem data, community intel, and tested playbooks.
面向 Solana 上 AI Agent 的语义交易验证。Semantic transaction verification for AI agents on Solana.
面向 AI Agent 工具调用的确定性 <0.1ms 不变量清算内核。零外泄 AST SQL 防火墙、数值速率限制与 Merkle GRC 审计追溯。Deterministic <0.1ms Invariant Clearance Kernel for AI Agent Tool Calls. Zero-egress AST SQL firewall, numeric velocity limits & Merkle GRC audit trails.
AI Brand Strategy Toolkit 2026 🚀 — 基于 Kapferer 与 Aaker 框架AI Brand Strategy Toolkit 2026 🚀 - Kapferer & Aaker Frameworks
🧠 构建模拟人类记忆的 AI 认知架构，分离情景记忆与语义记忆，并保证多语言支持与数据完整性🧠 Build a cognitive architecture for AI that mimics human memory, separating episodic and semantic memory while ensuring multilingual support and data integrity.
官方 SELAT 插件——发现经过审核的 Skill 与联邦化 x402/MPP 能力，可通过你自己的 Circle Agent Wallet（自托管）从任意 Agent 支付。Official SELAT plugins — discover vetted skills and federated x402/MPP capabilities, pay from your own Circle Agent Wallet (self-custody), from any agent.
基于 Microsoft Agent Framework (.NET) 的 LLM Agent 三层评估：运行时护栏、PR 闸口、校准过的评审者。该框架可自我评估。Three-tier evaluation for LLM agents on Microsoft Agent Framework (.NET): runtime guardrails, a PR gate, and calibrated judges. The framework evaluates itself.
一个 API 接入 2000+ AI 模型、2000+ 工具与托管 agents。One API for 2000+ AI models, 2,000+ tools, and managed agents.
2026 年顶级开源 AI Agent 🤖 | 最佳自主工具与框架Top Open-Source AI Agents 2026 🤖 | Best Autonomous Tools & Frameworks
面向澳大利亚公共执业会计的 AI Agent skills：BAS、FBT、Division 7A、STP、月末结账与底稿。AI agent skills for Australian public-practice accounting: BAS, FBT, Division 7A, STP, month-end close and workpapers.
Codex + DeepSeek 的任务感知推理模式路由（spec/react/weak）Task-aware reasoning-mode router for Codex + DeepSeek | Codex+DeepSeek 思维模式路由（spec/react/weak）
面向 AI agent 与 agentic workflow 的开源 MLflow 插件：涵盖 prompt、tool、skill、MCP server、RAG 知识库、评估、部署、可观测性以及 Aria copilot。Open-source MLflow plugin for AI agents and agentic workflows: prompts, tools, skills, MCP servers, RAG knowledge bases, evaluation, deployment, observability, and Aria copilot.