devops-infra MCP Server
Local offline long-term memory for AI coding agents. Hybrid BM25+vector search with cross-encoder reranking, zero infrastructure.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
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auto model = "AllMiniLML6V2" # ~80 MB, downloads on first run init_timeout_secs = 300 # Timeout for model download (default: 5 minutes) embed_timeout_secs = 30 # Timeout for individual embed operations (default: 30 seconds) [search] rrf_k = 60 # Reciprocal Rank Fusion constant decay_half_life_days = 7.0 [augmentation] enabled = true llm_endpoint = "" # optional: Ollama/MLX URL for richer classification [otel] endpoint = "" # OTLP gRPC endpoint; empty = disabled ``` See `docs/spec.md` for the full configuration reference. ## Using a Local Embedding Server (MLX / Ollama) For better embedding quality on Apple Silicon, point RAM at a local MLX or Ollama server: ```toml [embedding] backend = "local_api" local_api_url = "http://127.0.0.1:8095/v1" local_api_model = "qwen3-embedding" ``` Any OpenAI-compatible `/v1/embeddings` endpoint works. ## Transcript Locations RAM automatically discovers transcripts in:
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