
Keystroke is a unified platform for building, deploying, and managing internal AI agents and automated workflows. It combines agent memory, filesystem access, and code execution with 1,000+ integrations, enabling teams to create custom AI systems that connect to their existing tools and data. The platform includes a web-based interface for collaboration, monitoring, and governance of AI-driven processes.
Funding
Funding not disclosed
Founders
Product
Problem
Teams building internal AI agents often face fragmented tooling, requiring them to stitch together separate solutions for memory, file management, and code execution. This complexity slows development and makes it difficult to create reliable, production-ready AI systems that can access the full range of corporate data and applications.
Solution
Keystroke provides a single, integrated platform for building, running, and monitoring internal AI agents and workflows. The platform includes a web-based interface for collaboration, an in-product coding agent, and a runtime that supports memory, a filesystem, database access, web search, and browser use. It connects to over 1,000 third-party services via native integrations, any API, and MCP servers, allowing teams to automate complex work across their entire toolchain. Keystroke also offers organizational features like shared context, team workspaces, and human approval steps for reliable automation.
Target Audience
Engineering and operations teams at companies of all sizes that need to build custom internal AI agents and automate complex, multi-step workflows across their existing software stack.
Features
- Unified platform combining agent building, workflow orchestration, and monitoring in one interface
- Built-in agent capabilities including persistent memory, filesystem access, database queries, web search, and browser automation
- 1,000+ pre-built integrations plus support for any API and MCP servers for connecting to external tools
- In-product coding agent for building and iterating on agents using natural language
- Organizational context with shared Notion wikis, GitHub repos, and Slack sync for consistent team knowledge
- Human approval workflows and trigger-based automation for reliable, governed execution
- Usage-based pricing that only charges when agents and workflows are actively running