Forge.

Train and evaluate agents to excel at long-horizon, professional workflows.

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Made for Agent Training

Real Applications, Rebuilt for RL

Simulated APIs, MCP servers, and GUIs that behave like the systems agents actually use.

Expert-Curated Artifacts

Files (PDFs, CSVs, PPTs, etc.), data, and state settings that reflect real professional workflows, sourced from real business settings.

Hard Tasks with Verifiable Outcomes

Expert-designed objectives, rubrics, and automated verifiers that produce stable training signals for programmatic process and outcome evaluation.

Easy Integration and Environment Control

Compatible with standard environment interfaces, supporting trajectories, resetting state, examining rewards, and more.

OVERVIEW

Inside SlymeLab Forge

Built to Advance Agent Capabilities

SlymeLab Forge environments are simulated collections of realistic applications designed to train and evaluate agent behavior.

Systems for Stronger Learning Signals

They mirror real computer and API-based systems, supporting rich logs and application state for programmatic and rubric-based evaluation.

RL-Ready Expert Data

Each environment combines simulated interfaces with expert-curated data and evaluators to produce reliable learning signals for substantial capability improvements.

CAPABILITIES

Coverage That Matches
Production-grade Systems

Computer Use Environments

Train agents to navigate and operate realistic desktop and web environments, including macOS- and Windows-like systems.

  • Realistic GUI interactions with clicks, scrolling, typing
  • Multi-application workflows across browsers and apps
  • Calendar, email, and document manipulation
  • State verification and automated scoring
GUI Agent ExecutorSwitch to MCP Environments
GPT-5.1
Calendar: Schedule Tech Deep Dive
Mon
Tue
Wed
Thu
Fri
Execution LogHistoryBookmarks
AGENT STEP 15Open the new event creation dialog by clicking an empty time slot
AGENT STEP 16Set Feb 25, 2026 in the week view grid
AGENT STEP 17I need to finish user request: create Tech deep dive on Feb 25, 2026 at east
Running...
Run Agent Loop
Verifier
Agent
Execute
Run
MCP Agent ExecutorSwitch to GUI Environments
systemIdentify references to Person with Varying Names
agentI analyzed the messages to find references. Looking for name variations...
toolcontacts_get_matches: found 3 results
agentThe model must identify a document that references a person using a shortened form...
Tool Results
result_1
result_2
result_3

MCP / Tool Use Environments

Train agents to reason over and use real tools via MCP servers -- Slack, HubSpot, Linear, and more.

  • Real MCP server integration with authentic APIs
  • Multi-step tool chains and composition
  • Error handling and recovery training
  • Structured output verification
Web Apps
Desktop VMs
MCP Servers

Try SlymeLab RL
Environments

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