AI 智慧代理是用大型語言模型決定下一步要做什麼的程式：它會呼叫瀏覽器、程式碼直譯器或 API 等工具，反覆執行，直到任務完成。這裡的專案既有用來打造自己代理的框架，也有能寫程式、瀏覽網頁或執行業務流程的現成代理。
比較時看三點：能用哪些模型——只支援一家服務商，還是任何相容 OpenAI 介面的端點（包括本地模型）；如何限制代理能做的事——沙箱、核准步驟、權限清單；以及它能否在步驟之間、工作階段之間保留記憶。會執行程式碼或命令列的代理應該在沙箱中執行，給它存取你電腦的權限前先確認這一點。
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Open-source AI coworker, with memory
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
MCP Toolbox for Databases is an open source MCP server for databases.
Automated Penetration Testing Agentic Framework Powered by Large Language Models
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Unified framework for building enterprise RAG pipelines with small, specialized models
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA, Face ID, Google Workspace, Azure AD
Open-source, secure environment with real-world tools for enterprise-grade agents.
🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Pocket Flow: Codebase to Tutorial
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
Incremental engine for long horizon agents 🌟 Star if you like it!
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.