macOS Apple Silicon
.dmg
- Architecture
- arm64
- Version
- Coming soon
BYOK AI coding environment
Model choice, validation, and control for serious developers.
KCoder is the BYOK AI coding environment for developers who want control, validation, and model choice. Configure your own providers, inspect validation traces, and keep project memory close to the work.
BYOK model controlValidation-first workflowLocal provider keys
kcoder.agent.trace
Plan
Refactor auth flow and define validation criteria.
Execute
Apply edits, inspect diffs, collect diagnostics.
Validate
Review code state with selected validation model.
Browser evidence attached
screenshot + console + network Why KCoder
A public-ready coding environment for agentic work.
KCoder presents provider setup, model selection, validation traces, and project memory as first-class product surfaces. The experience is designed for developers who want to see how AI work is planned, executed, checked, and improved.
Downloads
Release-ready download cards, waiting for published builds.
Platform links are prepared for the first public KCoder releases. Buttons stay disabled until release artifacts, signing status, and checksums are published.
macOS Intel
.dmg
- Architecture
- x64
- Version
- Coming soon
Windows x64
.exe
- Architecture
- x64
- Version
- Coming soon
Linux AppImage
.AppImage
- Architecture
- x64
- Version
- Coming soon
Linux Debian/Ubuntu
.deb
- Architecture
- x64
- Version
- Coming soon
Release links will be enabled once builds, checksums, and release metadata are published.
Release information
Current release status
Signing status is shown per release.
Control plane
Model choice stays explicit
KCoder Settings > AI Models is the place to configure provider credentials, default models, and validation models.Validation
Evidence before completion
KCoder is built around a validation-first workflow that can review code state, diagnostics, test evidence, and browser evidence when available.Project memory
Durable context for real work
Project memory helps keep source-linked knowledge available across sessions with local search, citations, and health checks.Browser evidence
Inspect what happened
Browser validation traces can include screenshots, console output, network signals, waits, and simple UI interactions as review evidence.Trace history
Review the path taken
Plans, tool summaries, validation results, missing evidence, and artifact references are designed to be inspectable instead of hidden.Developer surface
Built for configurable workflows
MCP, skills, agents, instructions, prompts, hooks, and plugins give advanced users practical control over KCoder workflows.Workflow
Plan, execute, validate, and iterate inside KCoder.
KCoder’s workflow keeps intent, action, evidence, and follow-up work visible so developers can understand how the task moved forward.
Plan
The agent starts with visible intent: files, approach, validation needs, and success criteria.
Execute
Tool calls and edits are tracked as the agent moves through the requested work.
Validate
A validation pass reviews actual code state, diagnostics, test evidence, and browser evidence when relevant.
Iterate
If issues remain, feedback returns to the agent for another pass within user-configured limits.
Models
Designed for BYOK provider configuration.
Use your own provider credentials. Provider keys are user-configured in KCoder Settings > AI Models, where default and validation model choices are managed.
OpenAIAnthropicGeminiGrokOpenRouterOllamaGroqAzure OpenAINVIDIA NIMCustom EndpointOpenAI-compatible providers
Install
Install steps are ready for release artifacts.
These steps are intentionally generic until platform builds are published and release-specific instructions are attached.
macOS
- Download the correct macOS build.
- Open the installer.
- Move KCoder to Applications.
- Open KCoder and configure your model provider in AI Models.
Windows
- Download the Windows installer.
- Run setup.
- Open KCoder.
- Configure your model provider in AI Models.
Linux
- Download AppImage or .deb.
- Install or make executable.
- Launch KCoder.
- Configure your model provider in AI Models.
Trust and privacy
BYOK-first design with honest release metadata.
KCoder keeps provider configuration and validation evidence visible. Release metadata is presented per build so developers can check the status of binaries, checksums, and signing information before installing.
- BYOK-first design keeps provider selection explicit.
- Provider credentials are configured by the user.
- KCoder does not bundle a required AI subscription.
- Validation traces help inspect what happened.
- Release checksums will be published with binaries.
- Signing status is shown per release.
Prepare for KCoder releases
Bring your providers, inspect the workflow, and watch the release status.
Download links will activate when release artifacts are published. Until then, review the setup guide, inspect the release placeholders, or open GitHub for source details.