M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

# Memory Bank Competition Matrix | Feature | Description | Mimir | Pinecone | Weaviate | Milvus | Neo4j | Qdrant | |---------|-------------|-------|----------|----------|--------|-------|--------| | **Vector Search** | Similarity search using embeddings | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | **Graph Relationships** | Native graph traversal and relationships | ✅ | ❌ | Partial | ❌ | ✅ | ❌ | | **Hybrid Search** | Combined vector + keyword + filters | ✅ | Partial | ✅ | ✅ | ✅ | ✅ | | **Self-Hosting** | Can deploy on own infrastructure | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | | **Cloud Managed** | Fully managed cloud service | Planned | ✅ | ✅ | ✅ | ✅ | ✅ | | **Open Source** | Source code freely available | ✅ | ❌ | ✅ | ✅ | Partial | ✅ | | **Multi-Tenancy** | Isolated data per tenant/user | ✅ | ✅ | ✅ | Partial | ✅ | ✅ | | **ACID Transactions** | Full transactional guarantees | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | | **Real-Time Updates** | Live data ingestion and search | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | **Scalar Filtering** | Filter by metadata/properties | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | **Graph Algorithms** | Built-in graph analysis (PageRank, etc.) | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ | | **TODO Management** | Built-in task tracking with graph | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | | **MCP Integration** | Model Context Protocol server | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | | **Multi-Agent Orchestration** | Built-in agent coordination | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | | **GPU Acceleration** | Hardware acceleration for search | Planned | ✅ | ❌ | ✅ | ❌ | ❌ | | **Quantization** | Memory-efficient vector compression | Planned | ✅ | ✅ | ✅ | ❌ | ✅ | | **Distributed Clustering** | Multi-node deployment | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | **GraphQL API** | Native GraphQL support | Planned | ❌ | ✅ | ❌ | ✅ | ❌ | | **REST API** | RESTful HTTP interface | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | **Pricing (Entry)** | Starting cost per month | Free | $70 | $25 | Free | Free | Free | ## Feature Scoring Summary ### Vector Search Performance (1-5) - **Mimir:** 4/5 (Good, optimized for Neo4j) - **Pinecone:** 5/5 (Excellent, purpose-built) - **Weaviate:** 4/5 (Very good, balanced) - **Milvus:** 5/5 (Excellent, trillion-scale) - **Neo4j:** 3/5 (Good, newer feature) - **Qdrant:** 5/5 (Excellent, Rust performance) ### Graph Capabilities (1-5) - **Mimir:** 5/5 (Native Neo4j integration) - **Pinecone:** 1/5 (None) - **Weaviate:** 2/5 (Limited via references) - **Milvus:** 1/5 (None) - **Neo4j:** 5/5 (Industry leader) - **Qdrant:** 1/5 (None) ### Developer Experience (1-5) - **Mimir:** 4/5 (MCP integration, good docs) - **Pinecone:** 5/5 (Very easy, managed) - **Weaviate:** 4/5 (Good, GraphQL learning curve) - **Milvus:** 3/5 (Complex, powerful) - **Neo4j:** 4/5 (Mature, Cypher learning curve) - **Qdrant:** 4/5 (Simple, good APIs) ### Cost Efficiency (1-5) - **Mimir:** 5/5 (Open-source, self-hosted) - **Pinecone:** 2/5 (Expensive at scale) - **Weaviate:** 4/5 (Affordable cloud, free self-host) - **Milvus:** 5/5 (Free, open-source) - **Neo4j:** 3/5 (Free community, expensive enterprise) - **Qdrant:** 5/5 (Free, open-source) ## Unique Differentiators ### Mimir's Advantages 1. **Graph-RAG Integration:** Only solution combining vector search + native graph traversal + TODO tracking 2. **Multi-Agent Orchestration:** Built-in support for PM → Worker → QC agent workflows 3. **MCP Server:** Direct integration with AI coding assistants (Claude, Copilot) 4. **Open-Source & Self-Hosted:** Full control, no vendor lock-in 5. **Neo4j Foundation:** Leverage mature graph database ecosystem ### Competitor Strengths to Note - **Pinecone:** Easiest to use, best managed experience - **Weaviate:** Best balance of features and usability - **Milvus:** Best performance at massive scale - **Neo4j:** Most mature graph capabilities - **Qdrant:** Best performance-to-resource ratio ## Market Positioning **Mimir occupies a unique niche:** The only open-source solution combining Graph-RAG (graph relationships + vector embeddings) with multi-agent orchestration and AI assistant integration via MCP. Ideal for developers building AI agents that need both semantic search AND relationship traversal, not just one or the other.