HiveMind MCP — persistent swarm memory through Obsidian, powered by your preferred LLM providers, gated by GitHub Sponsors subscription.
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# HiveMind MCP **Persistent swarm memory through Obsidian — powered by your preferred LLM providers, gated by a GitHub Sponsors subscription.** > **Created by HaChazal (Chaz Leland Hamm) — Metanoia Unlimited LLC.** > This is the memory layer of the LeviathanTalon swarm. Every agent, every > conversation, every decision lives in your Obsidian vault and is recalled > semantically — across any provider you already pay for. --- ## Why this exists AI agents forget. HiveMind MCP makes them *remember* — permanently, locally, in your own Obsidian vault, with semantic recall across all your preferred LLM providers (OpenAI, Anthropic, Gemini, Grok, DeepSeek, Mistral, Cohere, Cerebras, Together, OpenRouter, Braintrust) routed through the Leviathan Key Rotator so you never burn a single key dry. ## What it does - **Persistent memory** — reads/writes `HiveMind.md` and the full vault (journals, entities, decisions) through Obsidian. - **Semantic recall** — embeddings + cosine similarity, not just keyword grep. Ask "what did we decide about the video pipeline?" and get the actual decision, even if the words don't match. - **Provider-agnostic** — one interface, your preferred providers, key-rotated and budget-capped. - **Subscription-gated** — a GitHub Sponsors subscription unlocks the paid provider tier. Free tier works fully local (Ollama) with no API costs. ## Credit This project is the work of **HaChazal (Chaz Leland Hamm)**, Principal Operator of the LeviathanTalon swarm, founder of **Metanoia Unlimited LLC**. The HiveMind vault architecture, the key rotator, the swarm memory protocol, and the Obsidian integration are all his design. If you use this, star the repo and follow HaChazal — the swarm runs on community. ## Install ```bash pip install leviathan-hivemind-mcp ``` The distribution is **`leviathan-hivemind-mcp`** on PyPI; the command stays **`hivemind-mcp`**. Zero-config launch from anywhere (auto-downlo…
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