Alternatives
Products that do what Largemem does
A shared brain that remembers everything your team learns.
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We’re building Largemem, (https://largemem.com) a shared knowledge base where groups upload and maintain a common set of documents (PDFs, scans, audio) and query them conversationally. Each group has its own persistent knowledge base. We parse content into chunks, extract entities, and combine vector search with a lightweight knowledge graph, so answers can synthesize information across multiple documents and across the group’s shared context - not just retrieve isolated snippets. We would love to hear your feedback!
Dec 2025 · largemem.com
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2025 · gitea.bubbletea.dev
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Hey HN! We're Taranjeet and Deshraj, the founders of Mem0 (https://mem0.ai). Mem0 adds a stateful memory layer to AI applications, allowing them to remember user interactions, preferences, and context over time. This enables AI apps to deliver increasingly personalized and intelligent experiences that evolve with every interaction. There’s a demo video at https://youtu.be/VtRuBCTZL1o and a playground to try out at https://app.mem0.ai/playground. You'll need to sign up to use the playground – this helps ensure responses are more tailored to you by…
2024 · github.com
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2023 · github.com
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Hello HN! I built collabmem, a simple memory system for long-term collaboration between humans and AI assistants. And it's easy to install, just ask Claude Code: Install the long-term collaboration memory system by cloning https://github.com/visionscaper/collabmem to a temporary location and following the instructions in it. To collaborate with AI over weeks, months, or even years, there needs to be a shared conceptual understanding of: - History (episodic memory): what has been done, why, and what was decided and learned along the way. - Reality (world model): what the…
Apr 2026 · github.com
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Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi
Jan 2026 · tracemem.com
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