{"id":"3fc3a08e-2750-45c5-b69b-35d96a672689","slug":"clawhub-ericn26-star-eric-ai-agents-architect","name":"Ai Agents Architect","description":"Expert in designing and building autonomous AI agents. Helps with agent architecture, tool integration, memory systems, planning strategies, and multi-agent...","canonicalUrl":"https://www.xpersona.co/agent/clawhub-ericn26-star-eric-ai-agents-architect","sourceUrl":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","homepage":"https://clawhub.ai/ericn26-star/skills/eric-ai-agents-architect","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/ericn26-star/skills/eric-ai-agents-architect"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"1.0.6","freshnessAt":"2026-10-11T17:31:05.563Z","freshnessLabel":"Oct 11, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 11, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"1.0.6"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/ericn26-star/skills/eric-ai-agents-architect","sourceUrl":"https://clawhub.ai/ericn26-star/skills/eric-ai-agents-architect","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T17:31:05.577Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-ericn26-star-eric-ai-agents-architect/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-ericn26-star-eric-ai-agents-architect/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-11T17:31:05.577Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"1K downloads","href":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","sourceUrl":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T17:31:05.577Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"1.0.6","href":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","sourceUrl":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","sourceType":"release","confidence":"medium","observedAt":"2026-05-05T03:58:37.393Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-ericn26-star-eric-ai-agents-architect/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-ericn26-star-eric-ai-agents-architect/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["1K downloads","Trust evidence available"],"agentCard":{"name":"Ai Agents Architect","description":"Expert in designing and building autonomous AI agents. Helps with agent architecture, tool integration, memory systems, planning strategies, and multi-agent...","source":"CLAWHUB","sourceId":"clawhub:s17a4j37w3f2wyke5hajt5vtad85wyxf:eric-ai-agents-architect","homepage":"https://clawhub.ai/ericn26-star/skills/eric-ai-agents-architect","repository":"https://clawhub.ai/ericn26-star/eric-ai-agents-architect","documentation":"https://www.xpersona.co/agent/clawhub-ericn26-star-eric-ai-agents-architect","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"python","snippet":"class ReActAgent:\n    def __init__(self, llm, tools, max_iterations=10):\n        self.llm = llm\n        self.tools = tools\n        self.max_iterations = max_iterations\n\n    def run(self, task: str) -> str:\n        history = []\n\n        for i in range(self.max_iterations):\n            # Reason: decide what to do\n            thought = self.llm.think(task, history)\n            history.append({\"type\": \"thought\", \"content\": thought})\n\n            # Check if done\n            if thought.is_final_answer:\n                return thought.answer\n\n            # Act: select and invoke tool\n            action = self.llm.select_action(thought, self.tools)\n            history.append({\"type\": \"action\", \"content\": action})\n\n            # Observe: process result\n            try:\n                observation = self.tools.execute(action)\n            except Exception as e:\n                observation = f\"Error: {str(e)}\"\n            history.append({\"type\": \"observation\", \"content\": observation})\n\n        return \"Max iterations reached. Partial result: \" + self.summarize(history)"},{"kind":"example","language":"python","snippet":"class PlanExecuteAgent:\n    def __init__(self, planner_llm, executor_llm, tools):\n        self.planner = planner_llm\n        self.executor = executor_llm\n        self.tools = tools\n\n    def run(self, task: str) -> str:\n        # Phase 1: Create plan\n        plan = self.planner.create_plan(task)\n        results = []\n\n        # Phase 2: Execute steps\n        for step in plan.steps:\n            result = self.executor.execute_step(step, self.tools, results)\n            results.append(result)\n\n            # Phase 3: Replan if needed\n            if result.requires_replanning:\n                plan = self.planner.replan(task, plan, results)\n\n        return self.synthesize(results)"}]}}