{"version":"1.0","type":"card","id":"e5f0cd28-e158-4142-8df1-835a0e851556","url":"https://stacklist.com/card/e5f0cd28-e158-4142-8df1-835a0e851556","title":"A harnessed LLM agent, clearly explained!","source_url":"https://x.com/_avichawla/status/2062082282878627946","note":"This page discusses the architecture of a harnessed LLM agent, emphasizing a model design that inverts traditional relationships by making the model itself thin while pushing intelligence outward. It aims to clarify the composition of intelligence at runtime.","image":{"url":"https://ucarecdn.com/20e8c50a-4fd7-4351-8ac0-17bc86e015d1/","alt":"A harnessed LLM agent, clearly explained!","width":200,"height":200},"stack":{"id":"539051c9-e760-4bd5-a86b-ac120e4ae368","title":"AI Software Development","url":"https://stacklist.com/stack/539051c9-e760-4bd5-a86b-ac120e4ae368"},"created_at":"2026-06-16T02:35:22.004Z","updated_at":null,"aco":{"summary":"A harnessed LLM agent architecture is explained, where intelligence is pushed outward from a deliberately thin model into three core modules: Memory, Skills, and Protocols, mediated by components like sandboxing, observability, and sub-agent orchestration. The post outlines a design framework for deciding where new capabilities should live and references an upcoming open-source minimal agent harness along with a companion article on agent anatomy.","tags":["llm-agents","agent-harness","orchestration","memory","ai-architecture","agentic-design","context-management"],"key_entities":[{"name":"Avi Chawla","type":"person","confidence":0.95},{"name":"Akshay Pachaar","type":"person","confidence":0.9},{"name":"Agent Harness","type":"concept","confidence":0.98},{"name":"LLM Agent Architecture","type":"concept","confidence":0.95},{"name":"Anthropic","type":"organization","confidence":0.85},{"name":"OpenAI","type":"organization","confidence":0.85},{"name":"LangChain","type":"organization","confidence":0.85},{"name":"Perplexity","type":"organization","confidence":0.8},{"name":"Orchestration Loop","type":"concept","confidence":0.88},{"name":"Memory Management","type":"concept","confidence":0.85}],"classification":"framework","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-06-16T02:35:31.937Z"},"token_counts":{"approximate":1050,"cl100k":1157},"content_hash":"sha256:d1dd443680ebfa9a23f887ff8ef33f8298e1cad7c4e34e357aa6b7163166b1db","acp_version":"0.2","body_available":true,"body_tokens":1050,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/e5f0cd28-e158-4142-8df1-835a0e851556.json","html":"https://stacklist.com/card/e5f0cd28-e158-4142-8df1-835a0e851556","md":"/api/public/card/e5f0cd28-e158-4142-8df1-835a0e851556.md","stack_json":"/api/public/stack/539051c9-e760-4bd5-a86b-ac120e4ae368.json"}}