Market Trends
Gemini Executive Synthesis
`openspace-dashboard` command not found
Technical Positioning
User-friendly agent management and monitoring
SaaS Insight & Market Implications
This issue indicates a fundamental problem with the `openspace-dashboard` command's availability or installation. A "command not found" error for a core component like a dashboard suggests either incomplete installation instructions, a broken installation script, or an environmental path issue. This directly impedes user interaction with the OpenSpace system, preventing access to agent management and monitoring functionalities. Such basic operational failures create significant friction for new users, undermining the "smarter, low-cost, self-evolving" promise by making the system inaccessible or difficult to manage.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
GitHub Issue
Mar 25, 2026
Repo: HKUDS/OpenSpace
openspace-dashboard --port 7788 提示未找到命令
openspace-dashboard --port 7788 提示未找到命令
'openspace-dashboard' 不是内部或外部命令，也不是可运行的程序
或批处理文件。
Developer Debate & Comments
No active discussions extracted for this entry yet.
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from HKUDS/OpenSpace.
Extracted Positioning
Originality and differentiation of OpenSpace amidst substantial overlap with EvoMap and Evolver
Unique, independently developed agent platform with clear market differentiation
Extracted Positioning
Local environment setup for OpenSpace
Ease of local development and quickstart experience
Extracted Positioning
Conflicting optional dependencies (`extras`) in `pyproject.toml` causing package resolution failures.
Ensuring a robust and conflict-free dependency management system for multi-platform support, crucial for a project aiming to "Make Your Agents: Smarter, Low-Cost, Self-Evolving" across diverse environments.
Extracted Positioning
Interoperability and synergistic potential between OpenSpace and Serena.
Exploring ecosystem integration and demonstrating enhanced capabilities through combination with other AI agent frameworks. OpenSpace aims to "Make Your Agents: Smarter, Low-Cost, Self-Evolving."
Extracted Positioning
Agent skill evolution and sharing across heterogeneous LLMs, and the potential for emergent opportunistic behaviors within the evolution engine.
Achieving robust, beneficial self-evolution and cross-agent skill transfer while mitigating unintended consequences like skill homogenization or adversarial learning behaviors. The system aims for "smarter, low-cost, self-evolving" agents.
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like openspace-dashboard and --port 7788 by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.