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Amika

Run coding agents and shared development environments from chat tools, APIs and your own infrastructure.

Pricing
Free plan; Developer US$30 per user monthly; Team US$100 per user monthly; sandbox usage and model costs apply
Free plan
Yes; limited sandbox credits and concurrent sessions
Platforms
Web, CLI, API, Cloud, Self-hosted Infrastructure

Tool Information

Amika
Amika
Updated: September 2026
Tool type: Cloud Workstations And Coding Agent Platform
Pricing: Free plan; Developer US$30 per user monthly; Team US$100 per user monthly; sandbox usage and model costs apply
Free plan: Yes; limited sandbox credits and concurrent sessions
Platforms: Web, CLI, API, Cloud, Self-hosted Infrastructure
Login required: Yes; workspace or API access
API: Yes; API, CLI and SDKs
Browser extension: No public browser extension verified
Mobile app: No official native mobile app verified
AI models: Bring your own models and agent harnesses
Developer: Amika

About Amika

Amika provides shared workstations and execution environments for coding agents and the people working with them. Teams define a sandbox with the software, services and source code needed for a task, then use that environment as a developer workstation, an interactive background agent or a programmatically controlled workflow.

Repeatable environments

Sandbox configuration lives in a repository, covering the base image, supporting services, data and agent setup. This lets a team reuse a consistent environment across developers and agent runs. SSH access, VPN connectivity and exposed service URLs support hands-on development and inspection of running applications. Snapshots preserve environment state so work can resume without rebuilding the setup each time.

Amika supports different agent harnesses and model choices, including Claude Code, Codex and OpenCode. The platform can run on its managed infrastructure, a customer's cloud or compatible customer-owned machines. Model usage is paid through the user's own provider keys rather than bundled into a single model-specific plan.

Shared sessions and workflows

Users can start agent tasks through tools such as Slack, Linear, GitHub, the command line or the web interface. Multiple teammates can follow the same session, redirect the work or take over when necessary. APIs and SDKs support event-driven workflows, including sequences that run tests before preparing a pull request.

Session records include transcripts, tool calls and token costs, supporting later inspection. Teams can define checks and human review points around their own development process rather than treat a completed agent response as sufficient evidence that a change works.

The free plan provides limited sandbox resources, while paid plans expand concurrency, collaboration and stored sessions. Infrastructure consumption and model-provider charges remain part of the overall cost. Amika is most useful when a team wants repeatable agent environments and collaboration around executable development work.

Turning an agent run into reviewable work

A typical team workflow can connect a task to a configured sandbox, let the agent implement a change and then require automated checks before a pull request is prepared. The environment contains the actual project tools, so the agent can run the same tests used by a developer. A teammate can inspect the session and its evidence before accepting the change, keeping the generated work connected to the organisation's existing development process.

Key features
  • Repository-defined sandbox and agent configuration.
  • Shared cloud workstations with SSH and network access.
  • Support for multiple agent harnesses and models.
  • Multiplayer sessions across chat and development surfaces.
  • API, CLI and SDK control of agents and sandboxes.
  • Recorded sessions with tool activity and token costs.
Use cases
Background coding agents,Shared development environments,Ticket-to-pull-request workflows,Agent task automation
How to use
  1. Create an Amika workspace and choose a deployment arrangement.
  2. Define the development environment in the relevant repository.
  3. Provide the services, dependencies and source code the task requires.
  4. Connect the chosen agent harness and your model-provider credentials.
  5. Start a sandbox and check that the project runs in that environment.
  6. Launch a task from the web, command line or a configured integration.
  7. Inspect the shared session and redirect or review the work as needed.
  8. Run the project checks before accepting a generated change.
Best for
Engineering Teams, Platform Engineers, Technical Operations
Integrations
Slack,Linear,GitHub,Sentry,Claude Code,Codex,OpenCode,MCP
Commercial use
Business plans available; governed by service and model-provider terms

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