For AI agents and developers: machine-readable getting-started guide and automated Salesforce org setup (/llms.txt).

Experiments

Experiments

Early-access tools and integrations from the Agentforce product and engineering teams. Available experiments are ready to try today. Coming soon experiments are actively in development.

Start Building

Start building a new agent immediately with a pre-provisioned Salesforce Org — no Agentforce or Data 360 configuration needed.

Learn More

Build Anywhere

Connect your Salesforce Org and build on Agentforce in the tool that best fits your needs.

Learn More

Deploy Agents

Connect your AI agent to the platforms your customers use most. Deploy your agent across web, SMS, and social APIs like WhatsApp and Messenger.

Learn More

Agentforce Arc

Automate agent development with Agentforce Arc, an experiment in "agents building agents." ARC generates complete build plans—including sub-agent orchestration, logic, guardrails, and smoke tests—directly within your Salesforce environment.

Learn More

Agent Development Lifecycle Skills

A suite of open-source skills spanning the full agent development lifecycle — from authoring and testing to observability.

Learn More

Agent Script Best Practices

An open-source, unified DSL for defining Agentforce agents. Use a single .agent file to orchestrate instructions, subagents, and deterministic rules, giving you full control over how LLMs execute business logic.

Learn More

Agentforce Grid MCP & Skills

Equip Claude Code to manage Agentforce Grid workbooks directly. This experiment combines specialized AI skills for grid configuration with an MCP server that provides the tools for real-time CRUD operations.

Learn More

Goal-Based Agent

Autonomous AI agent runtime with goal-driven workflows, 28 built-in tools, and a REST API — built natively on Salesforce.

Learn More

nanoRag

Give your Agentforce agents the ability to reference documents when answering questions. No vector databases or complex setup required.

Try it

GUI Process Automation (GPA)

The next generation of Robotic Process Automation (RPA). GUI Process Automation (GPA) is an agent that learns tasks (submitting receipts, logging notes, etc.) by watching a user perform them once.

Learn More

Context Optimization Layer (MCP+)

A post-processing layer that wraps MCP clients and filters tool outputs down to only the relevant context, cutting inference costs without sacrificing reasoning performance.

Learn More

Smarter Agent Orchestration (SkillOrchestra)

A skill-centric orchestration framework that routes tasks to the right agent based on competence and cost — no massive routers needed.

Learn More

Salesforce Docs MCP

Browse Salesforce documentation directly from your IDE using the Model Context Protocol.

Learn More