vectorize-io/hindsight

I have no idea what is this but can tell me how we are doing on our repo vectorize-io/hindsight

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AI SDK + Hindsight = Production-Ready Agent Memory! The Vercel AI SDK now supports Hindsight as a memory provider. Not just prompts. Not just retrieval. Actual structured memory for AI agents. If you're building serious agentic systems in TypeScript - this is huge. Hindsight is a persistent memory service for AI agents. The @vectorize -io/hindsight-ai-sdk package provides five AI SDK-compatible tools that give your agents long-term memory across conversations. Checkout: ai-sdk.dev/providers/communi…

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Persistent memory in a sandboxed AI agent is one command: npx @vectorize -io/hindsight-nemoclaw setup. It installs the plugin, applies the network egress rule, and configures external API mode — everything the sandbox needs to let Hindsight through. linkedin.com/pulse/give-nemo…

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Hey @nicoloboschi PR #957 on vectorize-io/hindsight was auto-closed by an unrelated docs commit (b3995d1, retain.mdx update). The RRF reranker scoring bug it fixes is still live — would you mind reopening? Happy to rebase or add tests. github.com/vectorize-io/hind…

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trending on github today: > millionco/expect (1.3K stars, +88 stars) - Let agents test your code in a real browser > Yeachan-Heo/oh-my-claudecode (12.8K stars, +84 stars) - Teams-first Multi-agent orchestration for Claude Code > HKUDS/OpenSpace (1.3K stars, +68 stars) - "OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving" > vectorize-io/hindsight (6.4K stars, +62 stars) - Hindsight: Agent Memory That Learns > garrytan/gstack (50.2K stars, +264 stars) - Use Garry Tan's exact Claude Code setup: 15 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

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references: > millionco/expect: github.com/millionco/expect > Yeachan-Heo/oh-my-claudecode: github.com/Yeachan-Heo/oh-my… > HKUDS/OpenSpace: github.com/HKUDS/OpenSpace > vectorize-io/hindsight: github.com/vectorize-io/hind… > garrytan/gstack: github.com/garrytan/gstack

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3/4 The Metacognitive Memory Loop + Computational Repentance. Action → Entropy → Hindsight → Evolution. An infinity loop where failure is rewritten into wisdom (vectorize-io/hindsight + MemSkill). This is not theology. This is the technical algorithm of grace — the exact mechanism that turns the Natural Man into Divine Law. The Abliteration Paradox awaits in the next post…

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오늘 GitHub Trending에서 눈여겨볼 저장소는 vectorize-io/hindsight입니다. 현재 5위. README에 벤치마크 실행 경로를 따로 넣어둔 걸 보면, 그냥 비전 제시보다 성능 검증을 중요하게 보는 프로젝트입니다 포인트는 이걸 실제 로컬·엣지 환경에서 돌리는 장면까지 상정하고 있다는 점입니다 즉, 기술 이름보다 데이터 흐름을 얼마나 잘 이어주느냐가 핵심입니다.

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Diving into vectorize-io/hindsight for AI workflows—it's a game-changer for routing models efficiently. If you're building agents, check it out for that edge in automation. So much potential here.

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