Your busywork, handled by agents.
Tell Xagent what you need. It plans the work, runs it, and hands back the result.
Four reasons teams pick Xagent.
The points that matter in an enterprise evaluation, up front.
Built for enterprise
Security and visibility your compliance team will ask for. Included, not added later.
- Admin & team workspaces
- SSO (Google OIDC)
- Run logs & traces
- Token usage & monitoring
Simple to use
A plain-language request is the whole spec. No diagrams to draw, no glue code to write.
- Describe tasks in your own words
- Save repeat work as agents
- Start from ready-made templates
Model-agnostic
Open models or API providers. Never locked to one vendor's model or cloud.
- Qwen, DeepSeek, OpenAI & more
- Any OpenAI-compatible endpoint
- Choose the model for each task
End-to-end stack
An agent platform with its own inference layer. One team, one stack, GPU to agent.
- Self-hosted models via Xinference
- Cloud or self-hosted, in your own environment
- Up to 70% lower inference cost
Five specialists. One planner.
Every workspace ships with a team that plans together, checks its own work, and gets things back to you finished.
Click an employee to open their file
Watch a task become a result.
You describe
State the outcome in plain language. That request is the whole spec.
Xagent plans
The request becomes steps with owners, tools and order.
Tools do the work
Every call, result and metric stays visible while it runs.
You keep the agent
Save what worked as an agent your team reuses and schedules.
Not another workflow builder.
Rigid workflows break the moment requirements change. Xagent doesn't follow a fixed diagram. It plans each run, watches the result, and adjusts as the work unfolds.
✗ Drag-and-drop workflow builders
- ✗Every path drawn by hand, before the work is understood
- ✗Break the moment requirements change
- ✗Maintained forever by whoever drew them
✓ Xagent plans at runtime
- ✓Describe the outcome. A plain-language goal is the whole spec
- ✓Xagent plans the steps, and re-plans when reality disagrees
- ✓Tools do the work, every call and result visible while it runs
- ✓Keep what worked. Save it as an agent your team reuses
Powered by Xinference.
Run agents on hosted providers, any OpenAI-compatible endpoint, or models on your own hardware through Xinference. Same team, same engine, end to end.
Inference cost per 1M tokens, indexed
Connect the tools you already run.
Native connectors for Google, Microsoft, Meta and LinkedIn. Everything else plugs in through MCP, including your internal systems.
Don't start from a blank prompt.
Start from a template, ground it in your data, connect your tools. Then hand the busywork over.
Your models. Your data. Your infrastructure.
Ship agents into your own products, then run the platform wherever your compliance team needs it.
Widget
Embed Xagent as a chat widget in any product, ready to ship.
API
Call your agents programmatically through a single API.
POST /v1/agents/run
SDK
Make your own app agentic with a few lines of code.
Python · REST
Triggers
Run agents on a schedule or on real-world events, not just prompts.
