xagent

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Xagent

Start with a personal agent. Scale into an AI workforce.

Xagent helps individuals complete real tasks, teams publish reusable agents, and enterprises run agent systems with their own tools, models, knowledge, and infrastructure — without brittle workflows.

Describe the outcome. Not the workflow.

One task
  ↓
Personal Agent
  ↓
Reusable Agent
  ↓
Team Workforce
  ↓
Enterprise Agent Platform

For personal work, team automation, and enterprise AI systems.

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Quick Start

Run on your machine

The published package bundles the web UI — no Docker or Node required (Python 3.11+):

uv tool install xagent-ai   # or: pip install xagent-ai  (use a virtualenv)
xagent                      # then open http://127.0.0.1:8000

Or in one line:

curl -fsSL https://get.xagent.co | sh

Create your admin account at /setup; Xagent then guides you to the Models page to connect a provider.

Coming from OpenClaw or Hermes? xagent migrate imports your agent, skills, and schedules (see xagent migrate --help).

Run with Docker (teams / self-hosting)

git clone https://github.com/xorbitsai/xagent.git
cd xagent
cp example.env .env        # optional: review settings
docker compose up -d       # then open http://localhost:80

Browser sign-in requires local browser storage and the Web Locks API for safe cross-tab session coordination. The bundled HTTP Compose endpoint is a local-development reference. Production deployments must terminate TLS and use a browser that supports Web Locks; localhost, 127.0.0.1, and ::1 remain secure-context forms for local development. See deployment changes for release-specific rollout and rollback requirements.

On first startup, Xagent redirects to /setup to create the first administrator account. Forgot the admin password? Reset it:

docker compose exec backend python -m xagent.web.reset_admin_password --username <admin_username>

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One platform, three ways to use it

Use Xagent as...	For...	What you get
A personal agent	One-off tasks, research, writing, files, and data exploration	Chat-style execution with tools, files, models, and real-time progress
A team workforce	Reusable agents, shared knowledge, repeated operations, and handoffs	Agents with roles, tools, models, knowledge bases, templates, live preview, and publishing
An enterprise agent platform	Private data, production use cases, and internal systems	Self-hosting, private cloud and on-prem deployment, Xinference integration, monitoring, and multi-user control

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What is Xagent?

Xagent is an agent platform for personal work, reusable team agents, and enterprise AI systems.

For individuals, it works like a powerful personal agent: describe a task, attach files, use tools, and get results.

For teams, it turns repeated work into reusable agents: define roles, connect tools and knowledge, test with live preview, then save and publish.

For enterprises, it provides the control needed to run agents with your own models, data, infrastructure, and internal systems.

Xagent is not a chatbot wrapper. Xagent is not a static workflow builder. Xagent is a runtime for agentic work.

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Why not workflow builders?

Workflow builders are useful when the process is fixed.

But real knowledge work is messy:

• Requirements change
• Inputs are incomplete
• The next step depends on what the agent discovers
• Tools need to be selected at runtime
• The output may be a report, a file, a decision, or an action

Traditional workflow builders ask you to design every branch before the work begins.

Xagent plans while the work happens.

Real work does not look like a perfect flowchart. Real work looks like a team.

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How Xagent works

Give Xagent a goal:

Analyze three competitors, summarize their positioning, and draft a launch plan.

Xagent can turn it into coordinated work:

Planner Agent
  ├─ Research Agent: gathers market and product signals
  ├─ Data Agent: structures competitors and trends
  ├─ Analyst Agent: identifies strategic opportunities
  ├─ Writer Agent: drafts the narrative
  └─ Operator Agent: prepares the final deliverables

During execution, Xagent can:

• Plan the task dynamically
• Break work into executable steps
• Select tools and models
• Use files, APIs, knowledge bases, and internal systems
• Track progress in real time
• Evaluate and iterate
• Deliver final artifacts

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See Xagent work

Give it a goal. Watch it plan, call tools, execute steps, and deliver results.

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What you can build

Personal agents

For your own daily work:

Agent	Examples
Research Agent	Research a market, summarize papers, compare products
Writing Agent	Draft posts, emails, memos, launch copy
Document Agent	Summarize files, extract structured data, translate documents
Data Agent	Analyze CSVs, explain trends, generate reports
Creative Agent	Generate PPTs, posters, campaign ideas, design briefs

Team workforces

For repeated work across a team:

Workforce	What it does
Support Workforce	Answers customer questions from knowledge bases and docs
Marketing Workforce	Creates launch plans, landing copy, and campaign assets
Data Workforce	Runs analysis, explains metrics, investigates anomalies
Ops Workforce	Handles invoices, receipts, internal requests, and policy FAQs
Security Workforce	Analyzes suspicious emails and phishing attempts

Enterprise agent systems

For production environments:

System	What it connects
Internal Knowledge Assistant	Company docs, policies, FAQs, and internal knowledge bases
BI / Analytics Agent	Databases, reports, dashboards, and SQL tools
Customer Support Agent	Product docs, tickets, and troubleshooting workflows
Private Agent Platform	Self-hosted models, private cloud, and on-prem infrastructure

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Core capabilities

1. Instant personal execution

Start with a task. No workflow setup required.

• One-off tasks
• File-based work
• Chat-style assistants
• Tool-enabled execution
• Real-time progress tracking

2. Dynamic planning

Xagent plans at runtime instead of following static graphs.

• Automatic task decomposition
• Plan → Execute → Reflect loops
• Conditional execution
• Multi-step reasoning

3. Reusable agents

Turn repeated work into agents your team can reuse.

• Role definition
• Tool access
• Knowledge integration
• Model configuration
• Live preview
• Save and publish

4. AI workforce patterns

Compose specialized agents for complex outcomes.

• Planner agents
• Research agents
• Data agents
• Writing agents
• Domain agents
• Operator agents

5. Tools, models, and knowledge

Connect agents to the systems they need.

• OpenAI, Claude, Zhipu, DeepSeek, and other model providers
• Self-hosted models via Xinference
• Knowledge bases and RAG
• Files and documents
• APIs and internal systems
• MCP tools and integrations

6. Observability and control

Operate agents like real systems.

• Task lifecycle tracking
• Execution state management
• Real-time step details
• Tool call visibility
• Token usage monitoring
• Multi-user support

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Enterprise-ready by design

Xagent can start as a personal agent, but it is built to grow into production environments.

Enterprise need	Xagent capability
Private deployment	Local, private cloud, and on-prem deployment
Model control	API-based models and self-hosted models via Xinference
Data grounding	Knowledge bases, RAG, files, and internal systems
Operational visibility	Task lifecycle, execution state, token usage, and progress tracking
Team usage	Multi-user support and published agents
Safer execution	Optional sandboxed execution when enabled
Integration	APIs, MCP tools, internal services, and external systems

You control your models, data, and infrastructure.

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Xagent vs workflow builders

Workflow builders	Xagent
You draw the flow	You describe the outcome
Static branches	Runtime planning
Manual tool wiring	Tool and model selection during execution
Breaks when requirements change	Adapts as the task evolves
Good for fixed processes	Better for ambiguous, knowledge-heavy work
Automation as diagrams	Automation as agentic execution

Workflow builders automate known processes.

Xagent handles work where the path is discovered during execution.

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Xagent in action

Watch Xagent move from goal to plan to execution to deliverable in real time.

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Architecture overview

Xagent separates agent work into layers:

Layer	Responsibility
User layer	Tasks, agents, templates, and widgets
Agent definition	Roles, instructions, constraints, tools, models, and knowledge
Planning engine	Runtime decomposition, planning, reflection, and iteration
Execution runtime	Task state, tool calls, progress tracking, and artifacts
Tool layer	Files, APIs, MCP tools, knowledge bases, and internal systems
Model layer	API-based models and self-hosted models via Xinference
Control layer	Users, monitoring, token usage, deployment, and sandboxing

This architecture lets Xagent support both personal usage and enterprise-grade agent systems.

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FAQ

Is Xagent a personal AI assistant?

Yes. You can use Xagent for one-off personal tasks like research, writing, file analysis, summaries, and data exploration.

But Xagent does not stop there. You can turn repeated work into reusable agents and publish them for your team.

How is Xagent different from a workflow builder?

Workflow builders require you to predefine the path.

Xagent plans dynamically at runtime. You describe the outcome, and Xagent decides the steps, tools, and execution path.

Can Xagent be used in enterprise environments?

Yes. Xagent supports self-hosted deployment, private cloud, on-prem infrastructure, multi-user usage, observability, knowledge bases, internal systems, and self-hosted models via Xinference.

Can I use my own models?

Yes. Xagent supports API-based model providers and self-hosted models via Xinference.

What license does Xagent use?

Xagent is released under the Xagent Source License. See the LICENSE file for details.

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Stay Ahead

Xagent is actively developed and rapidly evolving.