Hexabot
Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime.
Un agent IA est un programme qui utilise un modèle de langage pour décider de l’étape suivante, appelle des outils comme un navigateur, un interpréteur de code ou une API, et recommence jusqu’à ce que la tâche soit terminée. Les projets présentés ici vont des frameworks pour créer vos propres agents aux agents prêts à l’emploi qui écrivent du code, naviguent sur le web ou exécutent des processus métier.
Comparez trois points : les modèles utilisables (un seul fournisseur, ou tout point de terminaison compatible OpenAI, y compris local), la manière de limiter ce que l’agent peut faire (bac à sable, étapes d’approbation, listes d’autorisations), et sa capacité à conserver une mémoire entre les étapes et les sessions. Un agent qui exécute du code ou des commandes shell doit tourner dans un bac à sable : vérifiez-le avant de lui donner accès à votre machine.
Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime.
LightAgent: Lightweight Python framework for OpenAI-compatible agents with tools, memory, guardrails, tracing, lifecycle hooks, multi-agent collaboration, and workflows.
An autonomous agent that takes work, does work, gets paid, and gets better at it.
Multi-Agent System Framework For Complex Tasks
600 行 TypeScript 写成的超级迷你版 pi,让你轻松从 0 写出属于你的 pi-agent
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
AI辅助长篇小说创作,卡片式创作,支持基于 JSON Schema的结构化 AI 生成与上下文引用,可扩展性强。
Instant SECURE Full Stack Apps and AI Agents
Evaluate and improve models and agents using environments
Agentic SOC Platform: A powerful, flexible, open-source, and agent-centric automated security operations platform (AI SOC)
A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.
A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai
Your AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 15 agents, 33 skills working with /goal, agent-team, & workflow on autopilot loops with 0 need for human gate. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack
An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.
Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.
A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so cross-session memory and a continuous self-correction layer add almost no token cost; 1M context, Skills/MCP/Hooks, Claude Code config compatible.
Give your coding agent the power to write and run agent evals.
Zero-dependency TypeScript framework for production AI agents: durable execution, long-term memory, hybrid RAG, MCP tool calling, human-in-the-loop approval, planning and CodeAct sandboxes. One streaming API for Claude, GPT, Gemini, Grok, Mistral and DeepSeek — Node, Bun, Deno, serverless and edge.