Cadenya
Paid
Developers building agentic workflows
TryCase
FreemiumAgentic
TryCase supplies disposable Linux environments that let LLMs and agents execute code and gather results in isolated sessions.
Free tier: 3 free pull requests per month (Small or Medium), with 3 reruns each. Large pull requests always paid. · Checked Oct 20, 2026
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Summary
It spins up short-lived Linux instances where agents can install packages, run applications, and capture logs or files before the environment is destroyed. The core challenge it addresses is the need for repeatable, low-friction compute during agent development without teams provisioning and securing their own virtual machines. Pricing works through credits on a freemium model, with paid organization plans scaling usage beyond the free allocation. The main limitation is that environments are time-bounded, cannot be self-hosted, and require an organizational account rather than individual access.
Bottom line: *Use when you need managed, credit-based sandboxes for agent testing and accept the lack of self-hosting or long sessions.*
Pricing Plans
Usage-BasedLast verified 3 days ago- Free Tier
- 3 free pull requests per month (Small or Medium), with 3 reruns each. Large pull requests always paid.
Small pull request
per month
Up to 5 changed source files. A fix, a copy change, one component.
- $1 per pull request
- Up to 5 changed source files
- Reruns after push: $0.40 each, plus difference if diff grew
- 5 follow-up requests included
Medium pull request
per month
6u201330 changed source files. A feature touching a few screens.
- $2.50 per pull request
- 6u201330 changed source files
- Reruns after push: $0.40 each, plus difference if diff grew
- 5 follow-up requests included
Large pull request
per month
31 or more changed source files. A refactor or multi-screen feature.
- $5 per pull request
- 31 or more changed source files
- Reruns after push: $0.40 each, plus difference if diff grew
- 5 follow-up requests included
Enterprise
Custom
Volume pricing, invoicing, private deployment, or more repositories and parallel runs.
- Custom pricing
- Volume pricing available
- Invoicing
- Private deployment option
- More repositories and parallel runs
View full pricing on trycase.dev →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
Before you choose TryCase
More options in Agent Frameworks. Compare pricing, platforms, and features side by side.
Brain Memory
Free · Open source
Long-term continuity in multi-session coding projects
Pros
- Free tier with usable credits and headless access
- Scalable tiers up to large team usage
- Includes both headless and desktop modes on paid plans
- Credit-based flexible compute
Cons
- No self-hosting option
- Plans scoped to organizations only
- Max duration limits per environment
About
- Platforms
- Linux (headless and desktop)
- API Available
- No
- Self-Hosted
- No
- Last Updated
- July 6, 2026
Best For
Who it's for
- AI agent development and testing
- LLM-driven app verification workflows
- Teams needing scalable disposable compute
- Automated testing with artifact collection
What it does well
- LLM/agent app testing in isolated environments
- Change verification with automated proof capture
- Parallel execution of verification tasks
- Headless and desktop application testing for agents
Frequently Asked Questions
- Is TryCase free?
- TryCase offers a free option alongside paid upgrades. Check the current allowances and terms before choosing a plan.
- What platforms does TryCase support?
- TryCase is available on: Linux (headless and desktop).
Curated lists that include this category
TryCase supplies disposable Linux environments that let LLMs and agents execute code and gather results in isolated sessions.
It spins up short-lived Linux instances where agents can install packages, run applications, and capture logs or files before the environment is destroyed. The core challenge it addresses is the need for repeatable, low-friction compute during agent development without teams provisioning and securing their own virtual machines. Pricing works through credits on a freemium model, with paid organization plans scaling usage beyond the free allocation. The main limitation is that environments are time-bounded, cannot be self-hosted, and require an organizational account rather than individual access.
*Use when you need managed, credit-based sandboxes for agent testing and accept the lack of self-hosting or long sessions.*
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