Ross ROSS = Recommend OSS · open-source software intelligence for agents

OpenBMB/XAgent

An Autonomous LLM Agent for Complex Task Solving observed · 2026-08-28

github.com/OpenBMB/XAgent · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 95
  • Release rhythm 8
  • Longevity 75
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1052
  • days_rel: n/a
  • days_push: 33
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

8544 stars · 903 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

XAgent is an open-source, LLM-driven autonomous agent framework for automatically solving complex tasks. It features a dispatcher and planner architecture, extensible tools and agents, sandboxed Docker execution, and both GUI and CLI interfaces with human collaboration support.

Use cases

  • automatically solve complex multi-step tasks with an LLM agent
  • build and extend autonomous agents with custom tools
  • run AI agent tasks safely inside a docker sandbox
  • collaborate with an AI agent that can ask for human help
  • decompose a task into subtasks and execute them automatically
  • interact with an autonomous agent via a web GUI or command line

When to choose

  • you want a general-purpose autonomous LLM agent that plans and executes tasks with minimal human input
  • you need extensible agent architecture where you can add new tools and agents
  • safety matters and you want agent actions constrained in docker containers
  • you want both a GUI and CLI for interacting with agents

When to avoid

  • you need a lightweight single-purpose agent library with minimal dependencies
  • you require a production-hardened, stable agent platform rather than an early-stage experimental project
  • you cannot run docker containers in your environment
  • you need fine-grained deterministic control over every agent step

Facets

framework · maturity active

agent-framework llm-inference workflow-automation cli gui artificial-intelligence large-language-models developer-tools python cross-platform self-hosted autonomous-agent llm-agent task-solving tool-use human-in-the-loop docker-sandbox ai-agents automation docker

1 source

Member repositories

RepositoryRoleHealth v2
OpenBMB/XAgentmain61

For agents

markdown · JSON · MCP: product_card(name="OpenBMB/XAgent")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem