🧰ИИ-агенты: Фреймворки для агентов

🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/

Agentic RAG R1 Framework via Reinforcement Learning

Vigil SOC: The leading open source AI SOC. Apache 2.0. Runs against your own LLM, local or remote.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界

🏄 Dream XI AI turns isolated AI agents into a World Cup-level dream team.🏄 Dream XI AI 是一个面向复杂任务执行的 Multi-Agent 协作平台，借鉴足球“梦之队”阵型理念，将不同能力的 AI Agent 抽象为队长、组织核心、前锋、后卫、门将等角色，实现任务规划、工具执行、结果评审、风险拦截和最终交付的协同闭环。

The first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxed compute (JS notebooks, WASM Linux VMs, client-side apps), and shares what it builds peer-to-peer. BYOK, no backend, no telemetry.

The fastest workflow for every AI coding agent. Live status, quick prompts, worktrees, and diff review from one tmux TUI.

Halofy is the open access and governance layer for AI agents across your organization. Identity, policy, provenance, audit, and signed erasure.

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

Open-source AI office assistant for your desktop: describe the result or file you want in one sentence, and Abu plans and does the rest. Local-first, with Claude, OpenAI, DeepSeek and Ollama.

Privacy-first personal AI assistant platform with autonomous agents, tool orchestration, and multi-provider support.

AI agent tooling for data engineering workflows.

A CLAUDE.md Generator and Maintenance tool for for Claude Code to create high-quality CLAUDE.md instruction files — aligned with Anthropic’s best practices for Claude Code.

结合多大模型分析与确定性代码风控的自主量化交易系统 ｜ Autonomous crypto trading system with multi-LLM analysis, deterministic Python risk control & OKX execution.

Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.

AI Agent Team scaffold for Claude Code — 19 roles collaborate through stage gates, enforced by mandatory skills + blocking hooks + DoD checklists. Spec-driven change folders, SIT-audited code reviews, 4-layer hook defense, multi-LLM (DeepSeek/Doubao/Qwen/MiniMax). Tracks: Web · WeChat Mini Program · Apple native (macOS/iOS). 中文/EN README.

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.

Composable building blocks for full-stack AWS apps — define infrastructure and runtime code together with end-to-end type safety using TypeScript, local mocking, and native client codegen for Kotlin, Swift, and Dart.

Agentic RL最详细入门