An MCP server that provides persistent semantic memory for LLMs by building a concept graph with vector search. It enables storing, linking, and retrieving concepts across conversations using Turso vector search and 256-dimensional embeddings.
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Limited view: static analysis for Python is partially covered.
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recla93
Source: Glama
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XDG_DATA_HOMENS_CONSOLIDATE_AUTONEURON_USERNEURON_NO_GMNEURON_SLUGneuron5 python -m neuron # side-by-side with another installNEURON_NO_DOTENVNS_GRAPHS_DIR/tmp/neuron-test python -m neuron # isolated storeNEURON_VAULTNS_EMBED_MODELNEURON_ENV_FILEPYTEST_CURRENT_TESTTURSO_DATABASE_URL1. Turso Cloud — when + TURSO_AUTH_TOKEN are set. Memory is sharedTURSO_AUTH_TOKEN1. Turso Cloud — when TURSO_DATABASE_URL + are set. Memory is sharedGM_SLUGNEURON_BRIDGE_HOSTGM_NO_CLIENT_REGISTERNEURON_INSTALL_DIRNEURON_DEBUGNEURON_REPONS_EMBED_DIMTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
26/26 tools missing one or more hints — call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); store_turn (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +23 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
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