v3.12.0 · Apache-2.0
Verified generative visualization for React and agents, with deterministic chart validation, repair, rendering evidence, and MCP.
v0.9.37 · MIT
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
v0.6.1 · MIT
Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
v0.2.5 · MIT
DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts.
v0.6.0 · MIT
Domscribe is a pixel-to-code development tool that bridges the gap between running web applications and their source code.
v1.99.469 · Apache-2.0
Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime
v0.4.2 · MIT
Bilingual floating DeepSeek Harness pet with live context, lifetime token ledger, trends, opt-in completion sound, and editable Prompt Optimizer enhancement.
v0.1.0 · MIT
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.
v0.3.0 · Apache-2.0
Your First LLM-Wiki Conversation Knowledge Base
— · AGPL-3.0
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
v0.3.1 · MIT
High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.
v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.
v0.3.1 · MIT
High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.
v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.