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HugAgentOS vs MaxKB

ZJU's self-hosted enterprise AgentOS on AgentScope 2.0: domain ontology as a control plane for agents, plus RAG, sub-agents, MCP, skills, sandbox, memory and approval-gated self-evolution. — versus — Open-source enterprise agent platform: RAG pipelines (upload or crawl docs), a visual workflow engine with MCP tool-use, and zero-code embedding into existing business systems.

The curated verdict

Both are self-hosted enterprise agent platforms with RAG, workflow and MCP tools; HugAgentOS adds ontology governance and audited self-evolution, maxkb has the larger install base.

HugAgentOSMaxKB
Stars1.1k23k
Forks633.2k
LanguagePythonPython
LicenseNOASSERTIONGPL-3.0
Last activityyesterday2 days ago
Topicsagents, knowledge-graphs, orchestrationagents, rag
Curated connections56

HugAgentOS — the curator's take

Pick HugAgentOS when the pitch 'ontology as a machine-executable control plane' matters to you - governed concepts, relations, rules and action contracts feed the skill, memory and orchestration engines one shared business vocabulary, and self-evolution (memory, skills, orchestration) only lands after you approve it. One-command install with SQLite, Docker Compose for Postgres/Redis and a real sandbox. Caveats: the repo is a generated mirror of an upstream (`src/**` PRs not accepted), the licence is Apache-2.0 *plus* supplementary terms, and the Community Edition has no self-registration. If you don't care about ontology governance, maxkb or claraverse are more mature self-hosted workspaces; if you only want the ontology layer, context-ontology-accelerator or semantica are lighter.

MaxKB — the curator's take

The self-hosted answer to 'we need an internal AI assistant this quarter': upload or crawl your docs, get a RAG-grounded Q&A agent with a real workflow engine and MCP tool-use, then embed it into existing systems without code. Model-agnostic including fully private deployments. Battle-tested at 22k stars, mostly in enterprise support/knowledge-base roles. NOT a developer framework — you orchestrate in its UI, not your codebase (LangGraph territory); GPL-3.0 matters if you redistribute; and the project's center of gravity is the Chinese enterprise ecosystem — English docs and community trail the code.