Exomem
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Local Markdown/Obsidian knowledge substrate for MCP agents with governed memory and hybrid search.
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- Author
- Unknown
- Categories
- AI, Search, Knowledge Base
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Hosted Exomem is a friends-only private alpha.
Self-hosted Exomem stays the full open-source product you run yourself. Hosted runs it for a small friends cohort while we finish the v1 alpha. Tenant cells process plaintext for search; storage and transport are encrypted. Express interest below; invitations are personally issued and there is no public checkout.
friends-only v1 alphayour data exportable any time](https://substratesystems.io/exomem/benchmarks)Self-hosted setup →
Local-first long-term memory for coding agents — in-process embeddings (MLX/CPU), hybrid vector+BM25 search, markdown as source of truth. No cloud, no keys.
Local-first memory across sessions where Markdown files stay the source of truth and the search index is a rebuildable artifact.
Proof-backed implementation memory for coding agents — search and retrieve verified primitives via HTTP API, MCP adapter guide included.
Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.
Self-hosted MCP server for Obsidian: semantic + full-text search, wikilink graph, note CRUD, OAuth, and a self-describing vault guide.
Search your past OpenCode conversation history before starting new work, via a local read-only FTS5 index — no network calls.
Turn LinkedIn saved posts into a queryable knowledge base you can search, chat with, and connect to Claude or ChatGPT through MCP.
Persistent coding memory for AI assistants — MCP stdio + remote URL, hybrid search, knowledge graph, token-efficient context. Self-host on Cloudflare D1 or Postgres.
A local-first, generic memory layer for MCP agents, with multilingual hybrid search and reranking, versioned memories, provenance, temporal recall, relationships, feedback, and secure multi-agent spaces.
Local-first, zero-knowledge semantic memory for AI agents with on-device vector search (LanceDB + ONNX) and client-side AES-256-GCM encrypted sync.
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