The best EverOS alternatives

bisheng

dataelement/bisheng

BISHENG is an open-source enterprise Agent platform for building, deploying, and managing AI applications. It combines AI agents, workflows, RAG and knowledge management, desktop agent integration, and vibecoding app hosting with unified model management, evaluation, observability, access control, and enterprise administration.

Choose bisheng if…

• you specifically need agent or chatbot

Shares ai, dsh, dsh-plugin, llm with EverOS.

graphify

Graphify-Labs/graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

Choose graphify if…

• you want the more widely starred option (146.7k)
• you specifically need ai-agents or antigravity

Shares llm, mcp, rag, skills with EverOS.

crawl4ai

unclecode/crawl4ai

Official Crawl4AI Cloud: a hosted web scraping, extraction, and search API for AI agents. Free API key, 1,000 credits a month, no card. Fully open source: this repo is the Apache-2.0 crawler that powers it, and you can self-host it.

Choose crawl4ai if…

• you want the more widely starred option (87.3k)
• you specifically need ai-agents or crawl4ai-cloud

Shares ai, llm, mcp, rag with EverOS.

headroom

headroomlabs-ai/headroom

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Choose headroom if…

• you want the more widely starred option (79.5k)
• you specifically need agent or anthropic

Shares ai, llm, mcp, rag with EverOS.

mem0

mem0ai/mem0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Choose mem0 if…

• you want the more widely starred option (68.9k)
• you specifically need agentic-memory or agentic-memory-system

Shares ai, llm, long-term-memory, memory with EverOS.

PageIndex

VectifyAI/PageIndex

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Choose PageIndex if…

• MIT License suits your use better than Apache License 2.0
• you want the more widely starred option (40.4k)
• you specifically need agents or ai-agents

Shares agentic-ai, ai, llm, rag with EverOS.

haystack

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Choose haystack if…

• you want the more widely starred option (27.0k)
• you specifically need agent-framework or agentic-rag

Shares agentic-ai, ai, llm, mcp with EverOS.

Memori

MemoriLabs/Memori

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.

Choose Memori if…

• you specifically need agent or agenticai

Shares agent-memory, ai, llm, memory with EverOS.

nexent

ModelEngine-Group/nexent

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Choose nexent if…

• MIT License suits your use better than Apache License 2.0
• you prefer a smaller, narrower project to a large one
• you specifically need agent or agentic-framework

Shares agentic-ai, ai, llm, mcp with EverOS.

ai-agents-from-zero

didilili/ai-agents-from-zero

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Choose ai-agents-from-zero if…

• MIT License suits your use better than Apache License 2.0
• you prefer a smaller, narrower project to a large one
• you specifically need agent or agent-framework

Shares agentic-ai, llm, mcp, rag with EverOS.

WeKnora

Tencent/WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Choose WeKnora if…

• you would rather work in Go than Python
• you want the more widely starred option (37.3k)
• you specifically need agent or agentic

Shares ai, dsh-plugin, llm, rag with EverOS.

MemOS

MemTensor/MemOS

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

Choose MemOS if…

• you would rather work in TypeScript than Python
• you specifically need agent or ai-agents

Shares agentic-ai, ai, deepseek-harness, dsh-plugin with EverOS.