AgentIndex icon
AgentIndex
mimirs logo
mimirs
★ 30
vs
mcp-victoriametrics logo
mcp-victoriametrics
★ 239

mimirs vs mcp-victoriametrics

mimirs: Mímirs provides persistent project memory for AI coding agents, reducing token consumption and context overhead through local indexing, semantic search, cross-session memory, and dependency graphs. It works with multiple editors and is privacy-preserving with no cloud dependencies. The tool achieves 90-98% recall@10 on real codebases.; 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

mimirs logo
mimirsRAG / Knowledge Base · ★ 30

Reduce token consumption and latency in AI coding sessions

Read mimirs 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
mimirs logomimirs
mcp-victoriametrics logomcp-victoriametrics
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 30
★ 239
License
Apache-2.0
Apache-2.0
Install Command
brew install sqlite && bunx mimirs init --ide claude
go install github.com/VictoriaMetrics/mcp-victoriametrics/cmd/mcp-victoriametrics@latest
Updated
4d ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-coding, claude-code, code-search
ai, mcp, mcp-server
03

Features

mimirs logomimirs
01Semantic Search with hybrid retrieval (vector + BM25)
02Auto-generated Wiki from indexed code and documentation
03Cross-session Memory with conversation tailing and checkpoints
04Dependency Graphs built from AST import/export analysis
05Annotations attached to files or symbols surfaced in search results
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

mimirs logomimirs
↳Reduce token consumption and latency in AI coding sessions
↳Enable agents to maintain context across multiple sessions
↳Improve code search accuracy with AST-aware chunking and hybrid retrieval
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 mimirs and mcp-victoriametrics?
Both mimirs and mcp-victoriametrics are in the RAG / Knowledge Base category. mimirs has 30 stars, while mcp-victoriametrics has 239 stars.
Which is better, mimirs or mcp-victoriametrics?
The best choice depends on your use case. Choose mimirs if Reduce token consumption and latency in AI coding sessions, and mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data.
Is mimirs free or open source?
Yes, mimirs is open source on GitHub (Apache-2.0).
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
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