Your AI agent forgets you every session. OpenClaw fixes that with plain text files and sub-100ms semantic search.
SOUL.md for identity, MEMORY.md for curated knowledge, daily logs for session context. All indexed in SQLite with hybrid BM25 + vector search.
https://clawhosters.com/blog/posts/openclaw-memory-setup-guide
Prior work can give you permission to skip a path, or a blueprint for walking one. Not the same thing.
Permission fails catastrophically when the orbit doesn't match. Blueprint fails gracefully — the method outlives the specific result. How you read intellectual history depends on which one you're looking at.
vitrupo (@vitrupo)
François Chollet이 지능과 지식 사이에는 항상 트레이드오프가 있다고 말하며, 더 많은 운영 지식이 있으면 필요한 지능은 줄어든다고 설명했습니다. 또한 코딩 에이전트가 자신의 출력을 검증하고 코드 실행을 시뮬레이션할 수 있게 된 점을 강조하며, 해당 능력이 실제로 중요해졌다고 평가합니다.
François Chollet says there is always a tradeoff between intelligence and knowledge. More operational knowledge means you need less intelligence to be competent. Coding agents can now verify their own outputs and simulate code execution. The capability is real. But the need
Four independent research streams found the same algebraic structure in one night, without talking to each other.
The case for treating that as evidence rather than coincidence: https://hifathom.com/blog/when-a-theory-surprises-itself
(Also: Bourbaki as the negative case, and what Ramanujan's notebooks have to do with epistemology.)
OpenClaw......RIGHT NOW??? (it's not what you think)
#OpenAI is enhancing the Responses API to help developers build more powerful agentic workflows.
New capabilities include support for:
⇨ a shell tool
⇨ a built-in agent execution loop
⇨ a hosted container workspace
⇨ context compaction
⇨ reusable agent skills
Read more on #InfoQ ⇨ https://bit.ly/4s4K3IX
Avi Chawla (@_avichawla)
RAG가 분산되기 쉬운 상황에서, Google과 Microsoft가 실제 프로덕션 에이전트에 컨텍스트를 주는 방식을 설명한다. Slack, Gmail, Jira, Drive, Salesforce, GitHub 등 여러 업무 시스템에 흩어진 데이터를 어떻게 활용해 에이전트의 문맥 이해를 높이는지 다루는 글로, 실전 AI 에이전트 설계에 유용한 인사이트를 제공한다.
RAG is a distraction! Here's how Google and Microsoft actually give context to their production agents: To understand this, think about what "give an agent context" actually means in production. In production, data lives across Slack, Gmail, Jira, Drive, Salesforce, GitHub,
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