runs anywhere. uses anything Industry context: AI-assisted developer coding agents and terminal-first LLM integrations. Source repository: Gitlawb/openclaude (TypeScript). Topics: ai, ai-agent, ai-tools, cli, coding. This page documents 49 features across 6 domains with a product map score of 89/100.
Curated from Kriyastream product intelligence · 21 maps in directory
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AI-assisted developer coding agents and terminal-first LLM integrations
6
Product Domains
6
Goals
16
Flows
21
Capabilities
49
Features
Showing 49 rows
Openclaude is a curated Product Map for the open-source TypeScript repository Gitlawb/openclaude. It maps 49 features across 6 product domains, 21 capabilities, and 99 total facets. Kriyastream intelligence reports a product map score of 89/100, maturity stage "Operating", industry context "AI-assisted developer coding agents and terminal-first LLM integrations". Domains include Coding Agent Sessions, Headless and Extension Integrations, LLM Provider Setup, Model Routing and Profiles, and Recovery and Workflow Automation and 1 more. Representative features include Change Model, Change Provider, Choose Provider, and Enter Credentials plus 11 more.
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runs anywhere. uses anything Industry context: AI-assisted developer coding agents and terminal-first LLM integrations. Source repository: Gitlawb/openclaude (TypeScript).
Openclaude is a curated Product Map for the open-source TypeScript repository Gitlawb/openclaude. It maps 49 features across 6 product domains, 21 capabilities, and 99 total facets. Kriyastream intelligence reports a product map score of 89/100, maturity stage "Operating", industry context "AI-assisted developer coding agents and terminal-first LLM integrations". Domains include Coding Agent Sessions, Headless and Extension Integrations, LLM Provider Setup, Model Routing and Profiles, and Recovery and Workflow Automation and 1 more. Representative features include Change Model, Change Provider, Choose Provider, and Enter Credentials plus 11 more.
This product map is curated from Gitlawb/openclaude (https://github.com/Gitlawb/openclaude). Primary language: TypeScript. GitHub stars: 31,394.
Openclaude has a product map score of 89 out of 100 (Operating maturity). Scores blend structure completeness, map quality, and industry benchmark alignment.
User Onboarding and Documentation Experience: The product map lacks explicit JTBDs, experiences, or capabilities around user onboarding, tutorials, or documentation access. For a developer tool with complex multi-provider and session management, guided onboarding and contextual help are critical to reduce friction and increase adoption. Error Reporting and User Feedback Mechanisms: While recovery workflows are covered, there is no explicit capability or feature for reporting errors, logging issues, or providing user feedback on failures. Transparent error reporting and user feedback loops are essential for trust and continuous improvement in AI coding agents. Security and Privacy Controls: The map includes credential entry but does not address security features such as credential encryption, access control, or privacy settings. Given the sensitive nature of code and credentials, explicit security capabilities are expected in this category.
This map organizes Openclaude as a hierarchy: Domain (product area) → Goal (job to be done) → User Flow → Capability → Feature. Use the grid view to compare paths across domains; use the graph view for nested structure. The product map score reflects structure completeness, map quality, and industry benchmark alignment. Facet counts, the feature list, and the product map grid summarize what is modeled.
Use the Openclaude product map to understand product scope, compare capabilities across domains, identify gaps from priority improvements, benchmark against similar products, and import the structure into a Kriyastream workspace for work breakdown, estimation, and code validation.
A Kriyastream Product Map is a curated, structured model of a product's domains, capabilities, and features—derived from product intelligence and, when available, linked to a source code repository. It gives humans and AI agents shared vocabulary for planning, execution, and product-to-code validation.
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