AI エージェントとは、言語モデルを使って次に何をするかを決め、ブラウザーやコードインタープリター、API などのツールを呼び出し、タスクが終わるまでそれを繰り返すプログラムです。ここには、独自のエージェントを作るためのフレームワークから、コードを書く・Web を閲覧する・業務フローを実行するといった完成済みのエージェントまでが揃っています。
比べるポイントは三つです。使えるモデル（特定の一社だけか、ローカルモデルを含む OpenAI 互換のエンドポイントなら何でも使えるか）、エージェントにできることをどう制限するか（サンドボックス、承認ステップ、権限リスト）、そしてステップ間やセッション間で記憶を保持できるか。コードやシェルコマンドを実行するエージェントはサンドボックスで動かすべきなので、自分のマシンへのアクセスを許可する前に必ず確認しましょう。
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.
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.
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.