Ruflo Agentdb
Plugin ActiveSubstrate plugin for Ruflo memory: AgentDB controller bridge (15 agentdb_* MCP tools), RuVector ONNX embeddings (10 embeddings_* tools incl. RaBitQ 32x quantization), and WASM HNSW pattern router (3 ruvllm_hnsw_* tools)
To provide a robust and efficient memory management substrate for Ruflo, enabling advanced features like semantic search, causal knowledge graphs, and memory consolidation.
Features
- AgentDB controller bridge with 15 tools
- RuVector ONNX embeddings with RaBitQ quantization
- WASM-backed HNSW pattern router for up to 11 patterns
- Support for causal knowledge graphs and context synthesis
- Namespacing convention for cross-plugin discoverability
Use Cases
- Managing hierarchical and semantic knowledge stores
- Performing large-scale vector searches with memory optimization
- Implementing fast routing for high-priority patterns
- Building and querying causal knowledge graphs
- Integrating AI agent memories across different Ruflo components
Non-Goals
- Providing a user-facing application layer for memory management
- Handling direct user interaction for memory editing (relies on consumer plugins)
- Implementing its own independent vector database; relies on external tooling
- Managing memory across non-Ruflo environments
Documentation
- info:Configuration & parameter referenceWhile parameters are extensively documented in READMEs and tool definitions, default values are not always explicitly stated for all MCP tools.
Trust
- warning:Issues AttentionOpen issues (68) significantly outnumber closed issues (373) in the last 90 days, suggesting slower maintainer response times.
Installation
First, add the marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-agentdb@rufloContains 2 extensions
Skill (2)
Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search
Vector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction
Quality Score
Trust Signals
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