Local-first LLM router: keep sensitive data and bulk text labor on your own models, call the cloud only for the hard part. Privacy-routing (fail-closed) + manager-worker delegation + allowlist guard, MCP-native. Runs locally from the llm-localfirst Python package.
★not rated 0 20d agoA
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MCP Server for product specification - requirement interrogation, architecture decision, UI translation, debug guidance, and acceptance generation. Runs locally from the product-spec-mcp npm package.
MCP server for Tusk Ledger — gives your AI assistant typed access to your local personal finance data. Runs locally from the tuskledger-mcp Python package.
★not rated 0 2mo agoA
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File-first personal memory layer for AI agents. Markdown is the source of truth; conflicts are recorded with provenance, never auto-deleted. Runs locally from the @raytien/mnema npm package.
★not rated 0 1mo agoA
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MCP server "mnemic-memory" as configured in dongtang3/mnemic. Launched with /bin/bash ./scripts/run-agent-memory-mcp.sh. Needs 1 environment variable to run.
★not rated 0 23d agoA
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Agent memory in a single SQLite file — no vector DB, no server, no cloud. Keyword recall on stdlib alone; torch-free hybrid semantic search via model2vec + sqlite-vec. Python lib + MCP server + CLI. Runs locally from the agentrecall-db Python package.
★not rated 0 5d agoA
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RAG-lite: local semantic search over your files, as a CLI and an MCP server. No LLM, no API keys, no servers. Runs locally from the @adborroto/semantic-search-mcp npm package.
★not rated 0 4d agoA
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originalMIT