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agentspace-human-agent-workspace

Build and manage human+agent collaborative workspaces with AgentSpace, featuring AgentRouter scheduling, multi-agent coordination, and governance.

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reason-machines/ai-agent-skills
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2 de julio de 2026 a las 00:56
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SKILL.md
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name
agentspace-human-agent-workspace
description
Build and manage human+agent collaborative workspaces with AgentSpace, featuring AgentRouter scheduling, multi-agent coordination, and governance.
triggers
["set up agentspace workspace","create digital employee with agentspace","configure agentrouter for multiple runtimes","add agents to agentspace workspace","manage agent permissions in agentspace","schedule agent tasks with agentrouter","deploy agentspace self-hosted","integrate agents into shared workspace"]
# AgentSpace: Human + Agent Workspace > Skill by [ara.so](https://ara.so) — AI Agent Skills collection. AgentSpace is an agent-native collaborative workspace built for human + agent teams. It enables agents to work as first-class teammates with defined roles, permissions, scheduling, and governance — not just isolated tools. AgentSpace provides four core capabilities: scheduling (AgentRouter), capability sharing (digital employees), multi-agent collaboration (shared workspace), and security (permission governance). ## Installation ### Self-Hosted Setup **Prerequisites:** - Node.js 24 (recommended) - PostgreSQL 16 (recommended) - npm or yarn **Clone and setup:** ```bash git clone https://github.com/HKUDS/AgentSpace.git cd AgentSpace # Install dependencies and run setup npm install npm run setup # Start development server npm run dev:web ``` **Environment variables** (create `.env` file): ```bash # Database DATABASE_URL=postgresql://user:password@localhost:5432/agentspace # API Keys (provider-specific) ANTHROPIC_API_KEY= OPENAI_API_KEY= # Google Workspace (for document access) GOOGLE_CLIENT_ID= GOOGLE_CLIENT_SECRET= # Session secret SESSION_SECRET=your-random-secret-here ``` ### Hosted Platform For teams that don't want to manage infrastructure: ```bash # Visit the hosted platform open https://hire-an-agent.online ``` Both deployment modes provide the same features — digital employees, AgentRouter scheduling, workspace permissions, approvals, and audit trails. ## Core Concepts ### Digital Employees Agents in AgentSpace are "digital employees" with: - **Identity**: Name, role, owner - **Skills**: Defined capabilities - **Knowledge**: Domain expertise - **Runtime binding**: Execution harness (Claude Code, Codex, OpenClaw, Hermes) ### AgentRouter The scheduling layer that routes agent tasks to the best-fit runtime while preserving: - Agent identity and context - Skills and knowledge - Permissions and approvals - Normalized events and diagnostics ### Workspace The shared operating context where humans and agents collaborate: - Channels for team communication - Direct conversations - Document repositories - Task boards - Approval queues ## Creating a Digital Employee ```typescript import { createDigitalEmployee } from '@agentspace/core'; const employee = await createDigitalEmployee({ name: 'code-reviewer', role: 'Senior Code Reviewer', owner: 'user-id-here', skills: [ 'code-review', 'static-analysis', 'security-audit' ], knowledge: [ 'typescript-best-practices', 'react-patterns', 'security-guidelines' ], runtime: 'claude-code', // or 'codex', 'openclaw', 'hermes' instructions: ` Review pull requests for: - Code quality and style - Security vulnerabilities - Performance issues - Test coverage Always provide specific, actionable feedback. ` }); console.log(`Created employee: ${employee.id}`); ``` ## AgentRouter: Scheduling Tasks AgentRouter routes tasks to the appropriate runtime harness while maintaining unified context. ```typescript import { AgentRouter } from '@agentspace/router'; const router = new AgentRouter({ workspaceId: 'workspace-123', agentId: 'code-reviewer' }); // Schedule a task - router picks the best runtime const task = await router.schedule({ type: 'code-review', payload: { pullRequestUrl: 'https://github.com/org/repo/pull/42', files: ['src/auth.ts', 'src/middleware.ts'] }, priority: 'high', requiredCapabilities: ['file-access', 'git-operations'] }); // Task execution is normalized across all runtimes task.on('progress', (event) => { console.log(`Progress: ${event.message}`); }); task.on('complete', (result) => { console.log('Review complete:', result.findings); }); task.on('error', (error) => { console.error('Task failed:', error); }); ``` ## Multi-Agent Collaboration Create workflows where multiple agents coordinate on complex tasks. ```typescript import { Workspace, Channel } from '@agentspace/workspace'; // Create a workspace channel const workspace = new Workspace('engineering-team'); const channel = await workspace.createChannel({ name: 'incident-response', type: 'war-room', participants: [ { type: 'human', id: 'founder-123' }, { type: 'agent', id: 'coordinator-agent' }, { type: 'agent', id: 'database-specialist' }, { type: 'agent', id: 'security-auditor' } ] }); // Human drops a request await channel.post({ author: 'founder-123', content: 'Database queries are timing out in production. Need root cause analysis and fix proposal.', tags: ['urgent', 'production'] }); // Coordinator agent breaks down the task const coordinator = channel.getAgent('coordinator-agent'); await coordinator.execute({ instruction: 'Analyze the database timeout issue', workflow: [ { agent: 'database-specialist', task: 'Review slow query logs and identify bottlenecks' }, { agent: 'security-auditor', task: 'Check if this could be related to SQL injection or DDoS' }, { coordinator: true, task: 'Synthesize findings and propose fix', requiresApproval: true // Human approval before execution } ] }); // Agents work in parallel, results aggregate in channel channel.on('agent-complete', async (event) => { console.log(`${event.agentId} completed:`, event.result); if (event.requiresApproval) { await channel.requestApproval({ proposedAction: event.result.proposedFix, approvers: ['founder-123'], context: event.result.analysis }); } }); ``` ## Permission Management AgentSpace provides fine-grained permission control over what agents can access and execute. ```typescript import { PermissionManager } from '@agentspace/security'; const permissions = new PermissionManager('workspace-123'); // Grant document access to an agent await permissions.grant({ resource: { type: 'document', id: 'financial-report-2026-q2' }, actor: { type: 'agent', id: 'analyst-agent' }, scope: 'read', expiresAt: new Date('2026-12-31'), approvedBy: 'owner-user-id' }); // Grant runtime tool access with approval gate await permissions.grantTool({ agent: 'deploy-agent', tool: 'kubectl-apply', requiresApproval: true, approvers: ['devops-lead', 'cto'], constraints: { maxConcurrent: 1, allowedNamespaces: ['staging', 'production'] } }); // Check permissions before agent executes const canAccess = await permissions.check({ actor: 'analyst-agent', resource: 'financial-report-2026-q2', action: 'read' }); if (canAccess) { // Proceed with agent task } // Audit trail - all permissions are logged const auditLog = await permissions.getAuditLog({ agentId: 'deploy-agent', startDate: new Date('2026-06-01'), endDate: new Date('2026-06-30') }); console.log('Permission grants:', auditLog.grants); console.log('Permission denials:', auditLog.denials); console.log('Approval requests:', auditLog.approvalRequests); ``` ## Document Knowledge Integration Agents can access and reference workspace documents as part of their knowledge base. ```typescript import { KnowledgeBase } from '@agentspace/knowledge'; const kb = new KnowledgeBase('workspace-123'); // Add document to agent's knowledge await kb.addDocument({ agentId: 'support-agent', document: { title: 'Customer Support Playbook', content: ` ## Escalation Process 1. Gather all relevant customer information 2. Check previous ticket history 3. Attempt resolution within 30 minutes 4. If unresolved, escalate to L2 support ## Common Issues - Password reset: Use automated reset flow - Billing questions: Reference billing FAQ - Bug reports: Create GitHub issue with template `, tags: ['support', 'process', 'escalation'], source: 'google-docs', sourceId: 'doc-id-12345' } }); // Agent can now reference this knowledge const agent = await kb.getAgent('support-agent'); const response = await agent.query({ userQuestion: 'How do I escalate a customer ticket?', includeContext: true // Includes relevant knowledge documents }); console.log('Agent response:', response.answer); console.log('Referenced documents:', response.sources); ``` ## CLI Commands AgentSpace provides a CLI for managing digital employees and workspaces. ```bash # Create a new digital employee agentspace create-employee \ --name "security-auditor" \ --role "Security Specialist" \ --runtime "claude-code" \ --skills "penetration-testing,vulnerability-scanning,compliance-audit" # List all digital employees agentspace list-employees --workspace workspace-123 # Assign agent to channel agentspace assign \ --agent security-auditor \ --channel incident-response # View agent activity agentspace activity --agent security-auditor --days 7 # Grant permission agentspace grant \ --agent security-auditor \ --resource secrets-vault \ --scope read \ --requires-approval # Run quality checks (for development) npm run quality:web # Includes TypeScript checks, linting, and tests ``` ## Google Workspace Integration AgentSpace supports delegated access to Google Workspace resources. ```typescript import { GoogleWorkspaceConnector } from '@agentspace/integrations/google'; const connector = new GoogleWorkspaceConnector({ clientId: process.env.GOOGLE_CLIENT_ID, clientSecret: process.env.GOOGLE_CLIENT_SECRET, workspaceId: 'workspace-123' }); // Delegate Google Drive access to agent await connector.delegateAccess({ agentId: 'doc-writer-agent', scopes: [ 'https://www.googleapis.com/auth/drive.file', 'https://www.googleapis.com/auth/documents' ], approvedBy: 'workspace-admin' }); // Agent can now access Google Docs const agent = workspace.getAgent('doc-writer-agent'); await agent.execute({ task: 'create-weekly-report', outputs: { type: 'google-doc', parentFolder: 'team-reports' } }); ``` ## Real-World Example: Founder Team Workflow ```typescript import { AgentSpace } from '@agentspace/core'; // Initialize workspace const workspace = new AgentSpace({ name: 'startup-ops', owner: 'founder-id' }); // Create coordinator agent const coordinator = await workspace.createEmployee({ name: 'task-coordinator', role: 'Operations Coordinator', runtime: 'codex', skills: ['task-decomposition', 'agent-orchestration', 'priority-assessment'] }); // Create specialist agents const codeReviewer = await workspace.createEmployee({ name: 'code-reviewer', role: 'Senior Engineer', runtime: 'claude-code', skills: ['code-review', 'testing', 'refactoring'] }); const docWriter = await workspace.createEmployee({ name: 'doc-writer', role: 'Technical Writer', runtime: 'openclaw', skills: ['documentation', 'api-specs', 'tutorials'] }); // Founder drops request in channel const channel = await workspace.getChannel('general'); await channel.post({ author: 'founder-id', content: 'Need to ship the new API endpoint by Friday. Includes implementation, tests, and docs.' }); // Coordinator breaks down work await coordinator.execute({ context: channel.lastMessage, workflow: { tasks: [ { agent: codeReviewer, action: 'Implement /api/v2/analytics endpoint with rate limiting', dependencies: [], deliverable: 'PR with implementation and tests' }, { agent: docWriter, action: 'Write API documentation for analytics endpoint', dependencies: ['code-reviewer'], deliverable: 'Markdown docs in /docs/api' } ], approvalGates: [ { stage: 'before-deployment', approvers: ['founder-id'], requiredFor: ['production-deploy'] } ] } }); // Agents execute in parallel where possible // Results aggregate in channel // High-risk actions (deploy) wait for human approval ``` ## Troubleshooting ### Agent not executing tasks ```typescript // Check agent runtime binding const agent = await workspace.getEmployee('my-agent'); console.log('Runtime:', agent.runtime); console.log('Status:', agent.status); // Verify AgentRouter has access to runtime const router = workspace.getRouter();
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Este SKILL.md es muy grande, por eso SkillsMP muestra aqui solo la primera seccion. Ver en GitHub