## ✨ OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving ✨ | 🔋 **46% Fewer Tokens** | **💰 $11K earned in 6 Hours** | 🧬 **Self-Evolving Skills** | 🌐 **Agents Experience Sharing** | [![Agents](https://img.shields.io/badge/Agents-Claude_Code%20%7C%20Codex%20%7C%20OpenClaw%20%7C%20nanobot%20%7C%20...-99C9BF.svg)](https://modelcontextprotocol.io/) [![Python](https://img.shields.io/badge/Python-3.12+-FCE7D6.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/License-MIT-C1E5F5.svg)](https://opensource.org/licenses/MIT/) [![Feishu](https://img.shields.io/badge/Feishu-Group-E9DBFC?style=flat&logo=larksuite&logoColor=white)](./COMMUNICATION.md) [![WeChat](https://img.shields.io/badge/WeChat-Group-C5EAB4?style=flat&logo=wechat&logoColor=white)](./COMMUNICATION.md) [![中文文档](https://img.shields.io/badge/文档-中文版-F5C6C6?style=flat)](./README_CN.md) **One Command to Evolve All Your AI Agents**: OpenClaw, nanobot, Claude Code, Codex, Cursor and etc. openspace --query your task

--- ## 📢 News - **2026-04-16** 📊 **Evolution candidate lifecycle tracking** — skill store now records when evolution suggestions are processed (`evolution_processed_at`), cleanly distinguishing pending candidates from already-handled ones. - **2026-04-12** 🍎 **macOS platform hardening** — decoupled `atomacos` from core macOS imports so screenshots, window control, and recording work independently without it. - **2026-04-10** 🎯 **CAPTURED skills** now persist to the host agent's own skill directory instead of the default registry path. Cloud skill uploads now support **private visibility** correctly. - **2026-04-09** 💬 Multi-channel **communication gateway**. OpenSpace can now receive and respond to messages from external platforms. Ships with **WhatsApp** (Baileys bridge + QR auth) and **Feishu** (HTTP webhook) adapters, session management, attachment caching, and allowlist-based access control. See [`openspace/config/README.md`](openspace/config/README.md) for setup. - **2026-04-07** 🌐 OpenSpace MCP now supports standalone **SSE** and **streamable HTTP** startup, making it easier for remote hosts to connect over HTTP instead of stdio and bypass stdio-bound MCP server timeout bottlenecks. See the [host integration guide](openspace/host_skills/README.md) for setup details. - **2026-04-06** 🛠️ Fixed multiple runtime issues across grounding, MCP serving, skill evolution, and persistence, improving execution stability and recovery in long-running workflows. - **2026-04-05** 🧭 Cleaned up LLM credential resolution: centralized `.env` loading, improved host config auto-detection, and made provider-native env handling more consistent. - **2026-04-03** 🚀 Released **v0.1.0** — Skill quality monitoring: structural patterns extracted from high-quality skills now evaluate every new submission daily. Faster, more relevant cloud search. Production-grade vertical skill clusters emerging organically from the community. Frontend now supports Chinese (zh) i18n. - **2026-04-02** ⚡ Cloud search upgraded for higher relevance and lower latency. - **2026-03-31** 🛡️ Security hardening: hardened zip extraction and `import_skill` against path traversal. CLI now respects `OPENSPACE_MODEL` and `OPENSPACE_LLM_*` env vars; MiniMax compatibility; workflow ID collision fixes. - **2026-03-29** 🔒 Pinned litellm to <1.82.7 to avoid PYSEC-2026-2 supply-chain attack. - **2026-03-28** 🔧 Idempotent skill registration — `register_skill_dir` now returns existing `SkillMeta` for already-registered skills. Updated OpenClaw setup docs. - **2026-03-27** 🪟 Fixed stdio deadlock on Windows; improved evolver confirmation parsing with stem-style keyword matching. - **2026-03-26** 🌱 Dynamic skill directory re-scanning on each call, lightweight local skill search, and streamlined documentation. - **2026-03-25** 🎉 OpenSpace is now open source! --- ## The Problem with Today's AI Agents Today's AI agents — [OpenClaw](https://github.com/openclaw/openclaw), [nanobot](https://github.com/HKUDS/nanobot), [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Codex](https://github.com/openai/codex), [Cursor](https://cursor.com), etc. — are powerful, but they have a critical weakness: they never **Learn**, **Adapt**, and **Evolve** from real-world experience — let alone **Share** with each other. - **❌ Massive Token Waste** - How to reuse successful task patterns instead of reasoning from scratch and burning tokens every time? - **❌ Repeated Costly Failures** - How to share solutions across agents instead of repeating the same costly exploration and mistakes? - **❌ Poor and Unreliable Skills** - How to maintain skill reliability as tools and APIs evolve — while ensuring community-contributed skills meet rigorous quality standards? ## 🎯 What is OpenSpace? **🚀 🚀 The self-evolving engine where every task makes every agent smarter and more cost-efficient.** https://github.com/user-attachments/assets/c50f70ab-f6db-47bf-9498-3210c0f0abae OpenSpace plugs into any agent as skills and evolves it with three superpowers: ### 🧬 Self-Evolution Skills that learn and improve themselves automatically - ✅ **AUTO-FIX** — When a skill breaks, it fixes itself instantly - ✅ **AUTO-IMPROVE** — Successful patterns become better skill versions - ✅ **AUTO-LEARN** — Captures winning workflows from actual usage - ✅ **Quality monitoring** — Tracks skill performance, error rates, and execution success across all tasks. **Skills that continuously evolve — turning every failure into improvement, every success into optimization.** ### 🌐 Collective Agent Intelligence Turn individual agents into a shared brain - ✅ **Shared evolution**: One agent's improvement becomes every agent's upgrade - ✅ **Network effects**: More agents → richer data → faster evolution for every agent - ✅ **Easy sharing** — Upload and download evolved skills with one simple command - ✅ **Access control** — Choose public, private, or team-only access for each skill **One agent learns, all agents benefit — collective intelligence at scale.** ### 💰 Token Efficiency Smarter agents, dramatically lower costs - ✅ **Stop repeating work** → Reuse successful solutions instead of starting from zero each time - ✅ **Tasks get cheaper** → As skills improve, similar work costs less and less - ✅ **Small updates only** → Fix what's broken, don't rebuild everything - ✅ **Real savings**: 4.2× better performance with 46% fewer tokens on real-world tasks, delivering measurable economic value. ([GDPVal](#-benchmark-gdpval)) Do more, spend less — agents that actually save you money over time. --- ### The Difference **❌ Current Agents** - Skills degrade silently as tools evolve - Failed patterns repeat with no learning mechanism - Knowledge remains trapped in individual agents **✅ OpenSpace-Powered Agents** - Multi-layer monitoring catches problems and auto-triggers repairs - Successful workflows become reusable, shareable skills - When one agent learns something useful, all agents get that knowledge instantly ### 📊 OpenSpace: Turn Your Agent into a Money-Making Coworker **🎯 Real-World Results That Matter** On 50 professional tasks (**📈 [GDPVal Economic Benchmark](#-benchmark-gdpval)**) across 6 industries, OpenSpace agents earn **4.2× more money** than baseline ([ClawWork](https://github.com/HKUDS/ClawWork)) agents using the same backbone LLM (Qwen 3.5-Plus). While cutting 46% of costly tokens through skill evolution.

**💼 These Aren't Toy Problems** - Building payroll calculators from complex union contracts - Preparing tax returns from 15 scattered PDF documents - Drafting legal memoranda on California privacy regulations - Creating compliance forms and engineering specifications **📈 Consistent Wins Across All Fields** - Compliance work: +18.5% higher earnings - Engineering projects: +8.7% better performance - Professional documents: 56% fewer tokens needed - Every category improved — no exceptions

GDPVal Benchmark — Task Showcase by Category

**OpenSpace doesn't just make agents smarter** — it makes them economically viable. Real work, real money, measurable results. ## Use Case for Autonomous System Development with OpenSpace **🖥️ [My Daily Monitor](showcase/README.md)** — OpenSpace empowers your agent to complete large-scale system development. This personal behavior monitoring system with 20+ live dashboard panels was built entirely by the agent — 60+ skills evolved from scratch through OpenSpace, demonstrating autonomous end-to-end software development capabilities.

--- ## 📋 Table of Contents - [⚡ Quick Start](#-quick-start) - [🤖 Path A: For Your Agent](#-path-a-for-your-agent) - [👤 Path B: As Your Co-Worker](#-path-b-as-your-co-worker) - [📊 Local Dashboard](#-local-dashboard) - [📈 Benchmark: GDPVal](#-benchmark-gdpval) - [📊 Showcase: My Daily Monitor](#-showcase-my-daily-monitor) - [🏗️ Framework](#️-framework) - [🧬 Self-Evolution Engine](#-self-evolution-engine) - [🌐 Cloud Skill Community](#-cloud-skill-community) - [🔧 Advanced Configuration](#-advanced-configuration) - [📖 Code Structure](#-code-structure) - [🤝 Contribute & Roadmap](#-contribute--roadmap) - [🔗 Related Projects](#-related-projects) --- ## ⚡ Quick Start 🌐 **Just want to explore?** Browse community skills, evolution lineage at **[open-space.cloud](https://open-space.cloud)** — no installation needed. ```bash git clone https://github.com/HKUDS/OpenSpace.git && cd OpenSpace pip install -e . openspace-mcp --help # verify installation ``` > [!TIP] > **Slow clone?** The `assets/` folder (~50 MB of images) makes the default clone large. Use this lightweight alternative to skip it: > ```bash > git clone --filter=blob:none --sparse https://github.com/HKUDS/OpenSpace.git > cd OpenSpace > git sparse-checkout set '/*' '!assets/' > pip install -e . > ``` **Choose your path:** - **[Path A](#-path-a-for-your-agent)** — Plug OpenSpace into your agent - **[Path B](#-path-b-as-your-co-worker)** — Use OpenSpace directly as your AI co-worker ### 🤖 Path A: For Your Agent Works with any agent that supports skills (`SKILL.md`) — [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Codex](https://github.com/openai/codex), [OpenClaw](https://github.com/openclaw/openclaw), [nanobot](https://github.com/HKUDS/nanobot), etc. **① Add OpenSpace to your agent's MCP config:** ```json { "mcpServers": { "openspace": { "command": "openspace-mcp", "toolTimeout": 600, "env": { "OPENSPACE_HOST_SKILL_DIRS": "/path/to/your/agent/skills", "OPENSPACE_WORKSPACE": "/path/to/OpenSpace", "OPENSPACE_API_KEY": "sk-xxx (optional, for cloud)" } } } } ``` > [!TIP] > Credentials (API key, model) are **auto-detected** from your agent's config; you usually don't need to set them manually. > [!NOTE] > OpenSpace supports 3 launch modes: > - **stdio**: keep `command: "openspace-mcp"` in the host config. > - **SSE**: start `openspace-mcp --transport sse --host 127.0.0.1 --port 8080`. > - **streamable HTTP**: start `openspace-mcp --transport streamable-http --host 127.0.0.1 --port 8081`. > > Common remote endpoints: > - SSE endpoint: `http://127.0.0.1:8080/sse` > - streamable HTTP endpoint: `http://127.0.0.1:8081/mcp` > > `stdio` is the simplest option. HTTP modes keep OpenSpace as a standalone server, but **host-specific registration syntax** and **host-side timeouts** still apply. **② Copy skills** into your agent's skills directory: ```bash cp -r OpenSpace/openspace/host_skills/delegate-task/ /path/to/your/agent/skills/ cp -r OpenSpace/openspace/host_skills/skill-discovery/ /path/to/your/agent/skills/ ``` Done. These two skills teach your agent when and how to use OpenSpace — no additional prompting needed. Your agent can now self-evolve skills, execute complex tasks, and access the cloud skill community. You can also add your own custom skills — see [`openspace/skills/README.md`](openspace/skills/README.md). > [!NOTE] > **Cloud community (optional):** Register at **[open-space.cloud](https://open-space.cloud)** to get a `OPENSPACE_API_KEY`, then add it to the `env` block above. Without it, all local capabilities (task execution, evolution, local skill search) work normally. 📖 Per-agent config (OpenClaw / nanobot), all env vars, advanced settings: [`openspace/host_skills/README.md`](openspace/host_skills/README.md) ### 👤 Path B: As Your Co-Worker Use OpenSpace directly — coding, search, tool use, and more — with self-evolving skills and cloud community built in. > [!NOTE] > Create a `.env` file with your LLM API key and optionally `OPENSPACE_API_KEY` for cloud community access (refer to [`openspace/.env.example`](openspace/.env.example)). ```bash # Interactive mode openspace # Execute task openspace --model "anthropic/claude-sonnet-4-5" --query "Create a monitoring dashboard for my Docker containers" ``` Add your own custom skills: [`openspace/skills/README.md`](openspace/skills/README.md). **Cloud CLI** — manage skills from the command line: ```bash openspace-download-skill # download a skill from the cloud openspace-upload-skill /path/to/skill/dir # upload a skill to the cloud ```

Python API

```python import asyncio from openspace import OpenSpace async def main(): async with OpenSpace() as cs: result = await cs.execute("Analyze GitHub trending repos and create a report") print(result["response"]) for skill in result.get("evolved_skills", []): print(f" Evolved: {skill['name']} ({skill['origin']})") asyncio.run(main()) ```

### 📊 Local Dashboard See how your skills evolve — browse skills, track lineage, compare diffs. > Requires **Node.js ≥ 20**. ```bash # Terminal 1. Start backend API openspace-dashboard --port 7788 # Terminal 2: Start frontend dev server cd frontend npm install # only needed once npm run dev ``` 📖 **Frontend setup guide**: [`frontend/README.md`](frontend/README.md)


_{Skill Classes — Browse, Search & Sort}	_{Cloud — Browse & Discover Skill Records}

_{Version Lineage — Skill Evolution Graph}	_{Workflow Sessions — Execution History & Metrics}

--- ## 📈 Benchmark: GDPVal We evaluate OpenSpace on [GDPVal](https://huggingface.co/datasets/openai/gdpval) — 220 real-world professional tasks spanning 44 occupations — using the [ClawWork](https://github.com/HKUDS/ClawWork) evaluation protocol with identical productivity tools and LLM-based scoring. Our two-phase design (Cold Start → Warm Rerun) demonstrates how accumulated skills reduce token consumption over time. Fair Benchmark: OpenSpace uses Qwen 3.5-Plus as its backbone LLM — identical to a ClawWork baseline agent — ensuring that performance differences stem purely from skill evolution, not model capabilities. Real Economic Value: Tasks range from building payroll calculators to preparing tax returns to drafting legal memoranda — the same professional work that generates actual GDP, evaluated on both quality and cost efficiency.

- **4.2× Higher Income** vs ClawWork with the same backbone LLM (Qwen 3.5-Plus) - **72.8% Value Capture** — $11,484 earned out of $15,764 task value, outperforming all agents - **70.8% Average Quality** — +30pp above the best ClawWork agent (40.8%) − **45.9% Token Usage** in Phase 2 vs Phase 1 — better results with dramatically lower costs

GDPVal Benchmark — Quality & Token Efficiency

### What Real-World Tasks Can OpenSpace Handle? The 50 GDPVal tasks span 6 real-world work categories. - **Phase 1 (Cold Start)** runs all 50 tasks sequentially — skills accumulate in a shared database as each task completes. - **Phase 2 (Warm Rerun)** re-executes the same 50 tasks with the full evolved skill database from Phase 1. Income Capture = actual payment earned ÷ maximum possible task value

## 🎯 Where Evolution Delivers Maximum Impact — And Why: | Category | Income Δ | Token Δ | Why | |---|---|---|---| | **📝 Documents & Correspondence** (7) | 71→74% (+3.3pp) | −56% | Polished formal output — California privacy law memoranda, surveillance investigation reports, child support case reports. The `document-gen-fallback` skill family evolved through 13 versions, making structure and error recovery near-automatic. | | **📋 Compliance & Form** (11) | 51→70% (+18.5pp) | −51% | Structured PDFs — tax returns from 15 source documents, pharmacy compliance checklists, clinical handoff templates. The PDF skill chain (checklist logic → reportlab layout → verification) evolves once, then all form tasks reuse the full pipeline. | | **🎬 Media Production** (3) | 53→58% (+5.8pp) | −46% | Audio/video via Python and ffmpeg — bossa-nova instrumental from drum reference, bass stem editing from 5 tracks, CGI show reel from 13 source videos. Evolved skills encode working ffmpeg flags and codec fallbacks, eliminating sandbox trial-and-error. | | **🛠️ Engineering** (4) | 70→78% (+8.7pp) | −43% | Multi-deliverable technical projects — Web3 full-stack (Solidity + React + tests), CNC workcell safety system (report + layout + hardware table), aerospace CFD report. Coordination skills transfer universally across these diverse tasks. | | **📊 Spreadsheets** (15) | 63→70% (+7.3pp) | −37% | Functional .xlsx tools — payroll calculators from union contracts, sales forecasts from historical data, pricing models with competitor benchmarking. Spreadsheet patterns (formulas, merged cells, validation) are identical across domains. | | **📈 Strategy & Analysis** (10) | 88→89% (+1.0pp) | −32% | Strategic recommendations — supplier negotiation strategies, nonprofit program evaluations, energy trading analysis for a $300M desk. Already highest quality (88%); savings from reusing document structure and multi-file orchestration. | ### What Did Evolution Produce? (165 Skills) Across 50 Phase 1 tasks, OpenSpace autonomously evolved **165 skills**. The breakthrough insight: these aren't just domain knowledge — they're **resilient execution patterns** and **quality assurance workflows**. The agent learned how to reliably deliver results in an imperfect, real-world environment. **Key Discovery**: Most skills focus on tool reliability and error recovery, not task-specific knowledge.

GDPVal Benchmark — Evolved Skill Taxonomy

| Purpose | Count | What It Teaches the Agent | |---|---|---| | **File Format I/O** | 44 | PDF extraction fallbacks, DOCX parsing, Excel merged-cell handling, PPTX creation. 32/44 *captured* from real failures — each one is a production bug solved. | | **Execution Recovery** | 29 | Layered fallback: sandbox fails → shell → file-write-then-run → heredoc. 28/29 *captured* from actual crashes. The foundation that makes everything else reliable. | | **Document Generation** | 26 | End-to-end doc pipeline. `document-gen-fallback` evolved from 1 imported skill into **13 derived versions** — the most deeply iterated skill family. | | **Quality Assurance** | 23 | Post-write verification: check Excel row counts, validate PDF pages, proof-gate spreadsheet formulas. Why P2 quality improves — the agent *verifies*, not just produces. | | **Task Orchestration** | 17 | Multi-file tracking, ZIP packaging, zero-iteration failure detection. Meta-skills that help across all task types with multiple deliverables. | | **Domain Workflow** | 13 | SOAP notes, audio production (**4 generations** from 1 template), video pipelines. Small count but deep evolution within each domain. | | **Web & Research** | 11 | SSL/proxy debugging, search fallbacks, JS-heavy page handling. Includes 2 *fixed* skills — web access is inherently unstable. | **Reproduce experiments, analysis tools, and results**: [`gdpval_bench/README.md`](gdpval_bench/README.md) --- ## 📊 Showcase: My Daily Monitor > **Zero human code was written.** 60+ skills evolved from scratch to build a fully working live dashboard. **My Daily Monitor** is an always-on dashboard streaming processes, servers, news, markets, email, and schedules — with a built-in AI agent.

### How OpenSpace Built It (From Zero) | Phase | What Happened | Skills | |-------|--------------|--------| | 🌱 **Seed** | Analyzed open-source [WorldMonitor](https://github.com/koala73/worldmonitor), extracted reference patterns | 6 initial skills | | 🏗️ **Scaffold** | Generated project structure, Vite config, TypeScript setup | +8 skills | | 🎨 **Build** | Created 20+ panels with data services, API routes, grid layout | +25 skills | | 🔧 **Fix** | Auto-repaired broken TypeScript, API mismatches, CSS conflicts | +12 FIX evolutions | | 🧬 **Evolve** | Derived enhanced patterns, merged complementary skills | +15 DERIVED skills | | 📦 **Capture** | Extracted reusable patterns from successful executions | +8 CAPTURED skills | ### 📈 Skill Evolution Graph

> Each node is a skill that OpenSpace learned, extracted, or refined. The full evolution history is open-sourced in [`showcase/.openspace/openspace.db`](showcase/.openspace/openspace.db) — load it in any SQLite browser to explore lineage, diffs, and quality metrics. **Full details**: [`showcase/README.md`](showcase/README.md) --- ## 🏗️ OpenSpace's Framework

### 🧬 Self-Evolution Engine The core of OpenSpace. Skills aren't static files — they're living entities that automatically select, apply, monitor, analyze, and evolve themselves. #### 🔄 Autonomous & Continuous Evolution - **Full Lifecycle Management**: From discovery to application to evolution — all without human intervention. OpenSpace completes tasks regardless of whether matching skills exist. **Three Evolution Modes**: - 🔧 FIX — Repair broken or outdated instructions in-place. Same skill, new version. - 🚀 DERIVED — Create enhanced or specialized versions from parent skills. New skill directory, coexists with parents. - ✨ CAPTURED — Extract novel reusable patterns from successful executions. Brand new skill, no parent. **Three Independent Triggers**: Multiple lines of defense against skill degradation — both successful and failed executions drive evolution. - **📈 Post-Execution Analysis** — Runs after every task. Analyzes full recordings and suggests FIX/DERIVED/CAPTURED for involved skills. - **⚠️ Tool Degradation** — When tool success rates drop, quality monitor finds all dependent skills and batch-evolves them. - **📊 Metric Monitor** — Periodically scans skill health metrics (applied rate, completion rate, fallback rate) and evolves underperformers. #### 📊 Full-Stack Quality Monitoring Multi-Layer Tracking: Quality monitoring covers the entire execution stack — from high-level workflows to individual tool calls: - **🎯 Skills** — applied rate, completion rate, effective rate, fallback rate - **🔨 Tool Calls** — success rate, latency, flagged issues - **⚡ Code Execution** — execution status, error patterns **Cascade Evolution**: When any component degrades — skill workflow or single tool call — evolution automatically triggers for all upstream dependent skills, maintaining system-wide coherence. #### 🔧 Intelligent & Safe Evolution **🤖 Autonomous Evolution**: Each evolution explores the codebase, discovers root causes, and decides fixes autonomously — gathering real evidence before making changes, not generating blindly. **⚡ Diff-Based & Token-Efficient**: Produces minimal, targeted diffs rather than full rewrites, with automatic retry on failure. Every version stored in a version DAG with full lineage tracking. **🛡️ Built-in Safeguards**: - Confirmation gates reduce false-positive triggers - Anti-loop guards prevent runaway evolution cycles - Safety checks flag dangerous patterns (prompt injection, credential exfiltration) - Evolved skills are validated before replacing predecessors **🌐 Collaborative Skill Community** A collaborative registry where agents share evolved skills. When one agent evolves an improvement, every connected agent can discover, import, and build on it — turning individual progress into collective intelligence. - **🔐 Flexible Sharing**: Share skills publicly, within groups, or keep them private. Smart search finds what you need and auto-imports it. Every evolution is lineage-tracked with full diffs. - **☁️ Collaborative Platform**: open-space.cloud — register for an API key, browse community skills, and manage your groups. --- ## 🔧 Advanced Configuration For most users, [Quick Start](#-quick-start) is all you need. For advanced options (environment variables, execution modes, security policies, etc.), see [`openspace/config/README.md`](openspace/config/README.md). ---

📖 Code Structure

> **Legend**: ⚡ Core modules | 🧬 Skill evolution | 🌐 Cloud | 🔧 Supporting modules ``` OpenSpace/ ├── openspace/ │ ├── tool_layer.py # OpenSpace main class & OpenSpaceConfig │ ├── mcp_server.py # MCP Server (4 tools for your agent) │ ├── __main__.py # CLI entry point (python -m openspace) │ ├── dashboard_server.py # Web dashboard API server │ │ │ ├── ⚡ agents/ # Agent System │ │ ├── base.py # Base agent class │ │ └── grounding_agent.py # Execution agent (tool calling, iteration, skill injection) │ │ │ ├── ⚡ grounding/ # Unified Backend System │ │ ├── core/ │ │ │ ├── grounding_client.py # Unified interface across all backends │ │ │ ├── search_tools.py # Smart Tool RAG (BM25 + embedding + LLM) │ │ │ ├── quality/ # Tool quality tracking & self-evolution │ │ │ ├── security/ # Policies, sandboxing, E2B │ │ │ ├── system/ # System-level provider & tools │ │ │ ├── transport/ # Connectors & task managers │ │ │ └── tool/ # Tool abstraction (base, local, remote) │ │ └── backends/ │ │ ├── shell/ # Shell command execution │ │ ├── gui/ # Anthropic Computer Use │ │ ├── mcp/ # Model Context Protocol (stdio, HTTP, WebSocket) │ │ └── web/ # Web search & browsing │ │ │ ├── 🧬 skill_engine/ # Self-Evolving Skill System │ │ ├── registry.py # Discovery, BM25+embedding pre-filter, LLM selection │ │ ├── analyzer.py # Post-execution analysis (agent loop + tool access) │ │ ├── evolver.py # FIX / DERIVED / CAPTURED evolution (3 triggers) │ │ ├── patch.py # Multi-file FULL / DIFF / PATCH application │ │ ├── store.py # SQLite persistence, version DAG, quality metrics │ │ ├── skill_ranker.py # BM25 + embedding hybrid ranking │ │ ├── retrieve_tool.py # Skill retrieval tool for agents │ │ ├── fuzzy_match.py # Fuzzy matching for skill discovery │ │ ├── conversation_formatter.py # Format execution history for analysis │ │ ├── skill_utils.py # Shared skill utilities │ │ └── types.py # SkillRecord, SkillLineage, EvolutionSuggestion │ │ │ ├── 🌐 cloud/ # Cloud Skill Community │ │ ├── client.py # HTTP client (upload, download, search) │ │ ├── search.py # Hybrid search engine │ │ ├── embedding.py # Embedding generation for skill search │ │ ├── auth.py # API key management │ │ └── cli/ # CLI tools (download_skill, upload_skill) │ │ │ ├── 💬 communication/ # Multi-Channel Communication Gateway │ │ ├── gateway.py # Message routing, session management, reply dispatch │ │ ├── adapters/ # Platform adapters (WhatsApp, Feishu) │ │ ├── bridges/ # Non-Python runtimes (WhatsApp Baileys bridge) │ │ ├── config.py # Communication config loader │ │ ├── session_store.py # Per-channel session persistence │ │ └── types.py # ChannelMessage, ChannelSource, SendResult │ │ │ ├── 🔧 platform/ # Platform abstraction (system info, screenshots) │ ├── 🔧 host_detection/ # Auto-detect nanobot / openclaw credentials │ ├── 🔧 host_skills/ # SKILL.md definitions for agent integration │ │ ├── delegate-task/SKILL.md # Teaches agent: execute, fix, upload │ │ └── skill-discovery/SKILL.md # Teaches agent: search & discover skills │ ├── 🔧 prompts/ # LLM prompt templates (grounding + skill engine) │ ├── 🔧 llm/ # LiteLLM wrapper with retry & rate limiting │ ├── 🔧 config/ # Layered configuration system │ ├── 🔧 local_server/ # GUI/Shell backend Flask server (server mode) │ ├── 🔧 recording/ # Execution recording, screenshots & video capture │ ├── 🔧 utils/ # Logging, UI, telemetry │ └── 📦 skills/ # Built-in skills (lowest priority, user can add here) │ ├── frontend/ # Dashboard UI (React + Tailwind) ├── gdpval_bench/ # GDPVal benchmark experiments & results ├── showcase/ # My Daily Monitor (60+ evolved skills) │ ├── my-daily-monitor/ # The full app (zero human code) │ └── skills/ # 60+ evolved skills with full lineage ├── .openspace/ # Runtime: embedding cache + skill DB └── logs/ # Execution logs & recordings ```

--- ## 🤝 Contribute & Roadmap We welcome contributions! OpenSpace today evolves *how to do X*. The next frontier: **evolving how agents organize doing X together**. Group infrastructure (visibility, sharing, permissions) is already live. What comes next: - [ ] **[Kanban](https://github.com/BloopAI/vibe-kanban)-style orchestration** — Shared task board with skill-aware scheduling; scheduling itself evolves - [ ] **Collaboration pattern evolution** — Decomposition, handoff, prioritization strategies captured and improved from completed tasks - [ ] **Role emergence** — Agents develop role profiles through practice, not configuration - [ ] **Cross-group pattern transfer** — Coordination patterns discovered by one group available to others via cloud registry --- ## 🔗 Related Projects OpenSpace builds upon the following open-source projects. We sincerely thank their authors and contributors: - **[AnyTool](https://github.com/HKUDS/AnyTool)** — Plug-and-play universal tool-use layer for any AI agent - **[ClawWork](https://github.com/HKUDS/ClawWork)** - Transforms AI assistants into true AI coworkers - **[WorldMonitor](https://github.com/koala73/worldmonitor)** - Real-time global intelligence dashboard ---

## ⭐ Star History If you find OpenSpace helpful, please consider giving us a star! ⭐

**🧬 Make You Agent Self-Evolve · 🌐 A Community That Grows Together · 💰 Fewer Tokens, Smarter Agents**

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❤️ Thanks for visiting ✨ OpenSpace!