AgentIndex icon
AgentIndex
MemoryPilot logo
MemoryPilot
★ 18
vs
mcp-victoriametrics logo
mcp-victoriametrics
★ 239

MemoryPilot vs mcp-victoriametrics

MemoryPilot: MemoryPilot is a state-of-the-art MCP memory server that gives AI coding assistants persistent, searchable memory. It features hybrid search (BM25 + multilingual embeddings), temporal knowledge graph, GraphRAG, AAAK compression, and zero-shot auto-classification. It is 100% local, runs as a single binary, and achieves 99.1% R@5 on the LongMemEval benchmark.; mcp-victoriametrics: This MCP server provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It offers a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances.

01

TL;DR

MemoryPilot logo
MemoryPilotRAG / Knowledge Base · ★ 18

Persistent memory for AI coding assistants across sessions

Read MemoryPilot full review →
mcp-victoriametrics logo
mcp-victoriametricsRAG / Knowledge Base · ★ 239

Monitoring and observability: query metrics, analyze alert rules, and visualize data

Read mcp-victoriametrics full review →
02

Side-by-Side Comparison

Field
MemoryPilot logoMemoryPilot
mcp-victoriametrics logomcp-victoriametrics
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 18
★ 239
License
NOASSERTION
Apache-2.0
Install Command
git clone https://github.com/Soflutionltd/MemoryPilot.git && cd MemoryPilot && ./install.sh
go install github.com/VictoriaMetrics/mcp-victoriametrics/cmd/mcp-victoriametrics@latest
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai, cursor, embeddings
ai, mcp, mcp-server
03

Features

MemoryPilot logoMemoryPilot
01Hybrid search (BM25 + multilingual-e5-small RRF)
02Temporal knowledge graph with validity and confidence
03GraphRAG with auto entity extraction and combinatorial reranking
04AAAK compression (5-10x token savings)
05Zero-shot auto-classification of memories
mcp-victoriametrics logomcp-victoriametrics
01Query metrics and explore data, including drawing graphs if the client supports it
02List and export available metrics, labels, label values, and entire series
03Analyze and test alerting and recording rules
04Show parameters of your VictoriaMetrics instance
05Explore cardinality and metrics usage statistics
04

Use Cases

MemoryPilot logoMemoryPilot
↳Persistent memory for AI coding assistants across sessions
↳Automatic organization and retrieval of project knowledge
↳Cross-session context recall for bug fixes and architecture decisions
mcp-victoriametrics logomcp-victoriametrics
↳Monitoring and observability: query metrics, analyze alert rules, and visualize data
↳Debugging and optimization: debug relabel rules, downsampling strategies, and retention configurations
↳Automation and integration: integrate with AI assistants via MCP protocol for automated operations
FAQ

FAQ

What is the difference between MemoryPilot and mcp-victoriametrics?
Both MemoryPilot and mcp-victoriametrics are in the RAG / Knowledge Base category. MemoryPilot has 18 stars, while mcp-victoriametrics has 239 stars.
Which is better, MemoryPilot or mcp-victoriametrics?
The best choice depends on your use case. Choose MemoryPilot if Persistent memory for AI coding assistants across sessions, and mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data.
Is MemoryPilot free or open source?
Yes, MemoryPilot is open source on GitHub (NOASSERTION).
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
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Related

Alternatives to MemoryPilot →Alternatives to mcp-victoriametrics →MemoryPilot details →mcp-victoriametrics details →