AgentIndex icon
AgentIndex
rekal logo
rekal
★ 53
vs
mcp-victoriametrics logo
mcp-victoriametrics
★ 239

rekal vs mcp-victoriametrics

rekal: rekal provides long-term memory for LLMs via an MCP server. It stores memories in a local SQLite file and retrieves them using hybrid search (BM25 keywords + vector semantics + recency decay). It works with any MCP-capable agent like Claude Code, Codex CLI, and OpenCode.; 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

rekal logo
rekalRAG / Knowledge Base · ★ 53

Persistent memory for coding agents across sessions to remember user preferences and decisions

Read rekal 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
rekal logorekal
mcp-victoriametrics logomcp-victoriametrics
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 53
★ 239
License
MIT
Apache-2.0
Install Command
pip install rekal
go install github.com/VictoriaMetrics/mcp-victoriametrics/cmd/mcp-victoriametrics@latest
Updated
1mo ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
llm, mcp, mcp-server
ai, mcp, mcp-server
03

Features

rekal logorekal
01Local SQLite storage, no cloud or API keys
02Hybrid search combining BM25 keywords, vector semantics, and recency decay
03MCP server compatible with various coding agents
04Comprehensive tool-based memory management (store, search, update, delete, prune)
05Smart write operations with supersede and linking for knowledge evolution
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

rekal logorekal
↳Persistent memory for coding agents across sessions to remember user preferences and decisions
↳Storing project-specific knowledge and conventions without external services
↳Maintaining a searchable history of agent interactions and 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 rekal and mcp-victoriametrics?
Both rekal and mcp-victoriametrics are in the RAG / Knowledge Base category. rekal has 53 stars, while mcp-victoriametrics has 239 stars.
Which is better, rekal or mcp-victoriametrics?
The best choice depends on your use case. Choose rekal if Persistent memory for coding agents across sessions to remember user preferences and decisions, and mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
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