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Show HN: Sekha – What if AI remembered 3 years of conversations, not 3 hours?

1•sekha-ai•1h ago
Every AI assistant today has amnesia. Context windows fill up and you're starting over with a stranger.

Sekha gives your LLM a permanent memory: - Unlimited conversation history with semantic search - Works with any model (Claude, GPT, Llama, local) - Self-hosted, your data stays local - Built with Rust + SQLite + embeddings. AGPL-3.0.

GitHub: [github.com/sekha-ai/sekha-controller] Docs: [docs.sekha.dev] | Site: [sekha.dev] Proof: https://imgur.com/a/Dgti8cO

Comments

sekha-ai•1h ago
Built this because I was tired of explaining my codebase to Claude Code for the 10th time. Sekha automatically stores every conversation in SQLite, indexes with embeddings (Chroma), and injects relevant context into new chats via semantic search.

The screenshot shows a fresh conversation where the AI remembers my favorite color from days ago—something that shouldn't be possible with a standard 8K context window.

It's self-hosted by default (Ollama + SQLite) but works with any LLM via LiteLLM/OpenRouter. Rust core, Python bridge, MCP tools for Claude Code, SDKs for JS/Python.

Happy to answer questions. Docs have architecture diagrams and Docker setup.

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