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Show HN: ContextVault – Shared memory layer for your AI and your team
Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late las
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 62%basicmachines-co/basic-memory →
- PossiblePossibly related (embedding) · 61%Shared Selective Persistent Memory for Agentic LLM Systems →
- PossiblePossibly related (embedding) · 60%LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive Dashboard →
- PossiblePossibly related (embedding) · 60%bonigarcia/context-engineering →
- PossiblePossibly related (embedding) · 57%Frappucc1no/recall-loom →
- PossiblePossibly related (embedding) · 54%Reconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long Context →
- PossiblePossibly related (embedding) · 56%sopaco/deepwiki-rs →
- PossiblePossibly related (embedding) · 52%LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget →
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repobasicmachines-co/basic-memoryrepomaquina-app/recuerd0repobonigarcia/context-engineeringpaperLLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive DashboardpaperReconstructing the Right Episode: Evaluating Interleaved Conversational Memory Beyond Long ContextrepoFrappucc1no/recall-loompaperHandover of In-Context Learning State Across Session BoundariespaperShared Selective Persistent Memory for Agentic LLM Systemsreposopaco/deepwiki-rspaperLongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
