ИИ-агенты
LangBot
A production-grade platform for building agentic chat bots on every IM platform
★ 18,1 тыс. звёздApache-2.0
Смотреть руководство →nexent — проект с открытым исходным кодом из категории «ИИ-агенты» от ModelEngine-Group (ModelEngine-Group/nexent на GitHub). У него 5 900 звёзд на GitHub и 737 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
A zero-code platform for auto-generating production-grade AI agents with unified tools, skills and memory.
Describe the job in natural language — its data sources, tools and the answers it must produce.
Clone the repo and run the deployment script with Docker, or Kubernetes for a production cluster.
Connect your LLM/embedding providers and import your documents into the knowledge base.
Use the zero-code flow to generate an agent from your description, test it, and publish a version.
Describe requirements in natural language and generate executable agents instantly — what you think is what you get.
OpenAI-compatible with any provider, with full LLM, embedding, vision, speech-to-text and text-to-speech coverage and easy model switching.
Agent-to-Agent protocol support enables multi-agent cooperation and distributed workflows.
Two-tier memory (user-level and user-agent-level) keeps context persistent across conversations.
Real-time import and intelligent retrieval over 20+ document formats, with auto summaries and fine-grained access control, plus knowledge-level citations for traceability.
An agent marketplace with one-click installs, agent version management with rollback, multi-tenant isolation and role-based access control.
Clone Nexent and enter the project directory.
git clone https://github.com/ModelEngine-Group/nexent.git
cd nexentRun the deployment script in Docker mode (recommended for individuals and small teams).
bash deploy.sh dockerFor enterprise production, the same script targets a Kubernetes cluster.
bash deploy.sh k8sNexent is maintained by ModelEngine-Group, with documentation on its project site.
Yes — it is open source under the MIT license. You pay for the models and infrastructure you connect.
You connect your own model providers (any OpenAI-compatible endpoint), so you need an account or key for the models you choose, or a self-hosted endpoint.
All are low/zero-code agent platforms; Nexent's focus is auto-generating agents from natural language with harness-style constraints, layered memory, A2A collaboration and enterprise multi-tenancy in one open-source package.
Clone the repo and run bash deploy.sh docker, then follow the Quick Start to configure a model and generate your first agent.
A production-grade platform for building agentic chat bots on every IM platform
Skills and plugins that teach coding agents to write less, better code.
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Chinese guide to building production-grade AI agents with LangChain and LangGraph.
Curated skills, sub-agents, and config templates that speed up Claude Code.
Agent-native memory infrastructure - structured, persistent memory for production agents
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если nexent вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к nexent — продолжайте изучать полку по обе стороны от него.
A framework for evaluating and improving AI agents.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI …
An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.
An MCP integration platform that lets AI agents use tools reliably at any scale.
The benchmark that grades AI on real GitHub issues.
A visual playground for agentic workflows: Iterate over your agents 10x faster
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.