Terminal Use — Agent Frameworks Platform
Agent FrameworksLayer 3UnknownFounded 2026|San Francisco, CA|2-10
Visit websiteWhat is Terminal Use?
Terminal Use is an orchestration and deployment platform purpose-built for AI agents that operate on filesystems. Positioning itself as "Vercel for background agents," the company provides infrastructure to deploy, manage, version, and scale long-running agents. Part of YC W2026, it was founded by three ex-Palantir engineers — Vivek Raja (CEO), Filip Balucha, and Stavros Filosidis — and has raised M in funding.
The platform is framework-agnostic with native adapters for Claude Agent SDK, Codex SDK, and Vercel AI SDK v6. Developers define agents with a config.yaml and Dockerfile, specify three lifecycle endpoints (on_create, on_event, on_cancel), and deploy via CLI. The platform handles sandboxed execution, persistent filesystem storage across conversation turns, file sharing between agents, versioning with rollback, and environment-specific secret injection.
A key architectural innovation is treating filesystems as independent primitives separate from task lifecycles, enabling workspace persistence, filesystem forking for parallel agent testing, and presigned URLs for direct file transfers. Terminal Use supports preview/production environments with git-based targeting, scheduled execution, and enterprise features including physical data/compute isolation.
Key Features
- ✓Agent hosting & deployment
- ✓Sandboxed compute
- ✓Scheduling
- ✓Message streaming
- ✓Long-running agent support
Pros & Cons
Pros
- +Massive M funding provides significant runway compared to competitors in the space
- +All three founders have directly relevant Palantir experience building agent infrastructure at enterprise scale
- +Framework-agnostic design with Claude SDK, Codex SDK, and Vercel AI SDK adapters avoids vendor lock-in
- +Filesystem-as-primitive architecture is a genuinely novel approach solving real stateful agent problems
- +Strong developer experience with CLI-first design, git-native versioning, and markdown scenario testing
Cons
- -No public pricing creates uncertainty for teams evaluating the platform
- -Still missing key features including preview URLs, Docker-in-Docker, and multi-agent communication protocols
- -Competes with established sandbox providers like Fly.io and E2B that already have large user bases
- -The "Vercel for X" positioning is well-worn — execution will matter more than the analogy
Terminal Use Pricing
Free trial available
StarterContact for pricing
- ✓SDK and CLI access
- ✓Agent deployment
- ✓Sandboxed execution
- ✓Filesystem persistence
EnterpriseCustom
- ✓Physical data/compute isolation
- ✓Granular resource permissions
- ✓Custom SLAs
- ✓Dedicated support
Common Use Cases
Developers deploying long-running AI agents
- •Agent deployment
- •Background agent hosting
- •Scheduled agent tasks
- •Production agent infrastructure
Using Terminal Use with Respan
Terminal Use deploys and manages long-running AI agents, while Respan monitors the LLM calls those agents make. Together they provide both infrastructure management and AI observability for production agent deployments.
- ✓Monitor LLM costs and performance for agents deployed on Terminal Use via Respan
- ✓Track agent behavior patterns across Terminal Use deployments through Respan traces
- ✓Optimize agent LLM spending using Respan analytics for Terminal Use-hosted agents
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Last verified: March 27, 2026