OpenSpace
"OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/
OpenSpace is a skill management layer for AI agents that helps them retrieve, evaluate, and evolve skills based on real task outcomes. It tracks which skills actually work through execution evidence, evolves skills using controlled FIX/DERIVED/CAPTURED workflows, and organizes shared skills into a searchable package hierarchy. Agents integrate OpenSpace via MCP server or by copying skill definitions into their skill directories, enabling self-improvement through proven results rather than guesswork.
Key Features
Use Cases
- 01Enable Claude Code or Cursor to remember and reuse successful coding workflows across sessions
- 02Track which automation skills reliably complete tasks vs. which fail in production environments
- 03Evolve Docker monitoring, data pipeline, or deployment skills based on real execution outcomes
- 04Share proven task workflows across team agents with quality metrics and version history
- 05Prevent agents from repeatedly selecting broken or outdated skills by maintaining evidence records
- 06Browse community-contributed skills organized by package with lineage and quality context before importing locally
Related Skills
View moresuperpowers
An agentic skills framework & software development methodology that works.
skills
Skills for Real Engineers. Straight from my .agents directory.
skills
Public repository for Agent Skills
ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
OpenSpace — FAQ
What is OpenSpace?+
OpenSpace is a skill management layer for AI agents that tracks skill quality through real task execution, evolves skills using controlled workflows (FIX/DERIVED/CAPTURED), and provides local-first skill storage with optional cloud sharing. It integrates as an MCP server or bundled skill definitions.
How do I install OpenSpace for my agent?+
Clone the repo, run `pip install -e .`, add the `openspace-mcp` server to your agent's MCP config with environment variables for workspace and skill directories, then copy the `delegate-task` and `skill-discovery` skill folders into your agent's skill directory. Full setup varies by host agent (Claude Code, OpenClaw, nanobot, etc.).
Which AI clients work with OpenSpace?+
OpenSpace works with any MCP-compatible agent including Claude Code, Codex, Cursor, OpenClaw, nanobot, and other clients that can launch MCP servers and read SKILL.md definitions. It also provides a standalone CLI and Python API.
Do I need API keys or cloud access?+
You need an LLM API key (e.g., Anthropic, OpenAI) for the agent to execute tasks; this can be auto-detected from nanobot/OpenClaw configs or set via environment variables. Cloud skill sharing is optional and requires bootstrapping an agent key via `openspace-cloud-auth bootstrap-agent-key`.
Is OpenSpace free and open source?+
Yes, OpenSpace is open source under the MIT License. The local skill management, evolution engine, and dashboard are fully free; cloud skill browsing at open-space.cloud is also free for public packages.
What are the system requirements?+
OpenSpace requires Python 3.12+ for the MCP server and skill engine. The optional local dashboard requires Node.js ≥ 20. It runs locally by default; cloud features are opt-in.
How do I install OpenSpace?+
Open the source repository on GitHub and follow its README. OpenSpace is a skill — MCP Agents Market links you directly to the official repo.
Is OpenSpace free?+
OpenSpace is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.