rekal
★ 53
vs
mcp-tools-py
★ 19
rekal vs mcp-tools-py
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-tools-py: This MCP server enables AI assistants to run code quality checks on Python projects using pylint, pytest, and mypy. It ensures security and context management by scoping operations and formatting results.
01
TL;DR
rekalRAG / Knowledge Base · ★ 53
Persistent memory for coding agents across sessions to remember user preferences and decisions
mcp-tools-pyCode Assistant · ★ 19
Integrate with AI assistants like Claude for code quality checks
02
Side-by-Side Comparison
Field
rekalmcp-tools-pyCategory
RAG / Knowledge Base
Code Assistant
Stars
★ 53
★ 19
License
MIT
MIT
Install Command
pip install rekal
pip install git+https://github.com/MarcusJellinghaus/mcp-tools-py.git
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Tags
llm, mcp, mcp-server
mcp, mcp-server, mcp-servers
03
Features
rekal01Local 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-tools-py01Run pylint check
02Run pytest check
03Run mypy check
04
Use Cases
rekal↳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-tools-py↳Integrate with AI assistants like Claude for code quality checks
↳Automatically run tests and type checking during development
↳Integrate into CI/CD pipelines as code quality gates
FAQ
FAQ
What is the difference between rekal and mcp-tools-py?
Both rekal and mcp-tools-py are in the RAG / Knowledge Base category. rekal has 53 stars, while mcp-tools-py has 19 stars.
Which is better, rekal or mcp-tools-py?
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-tools-py if Integrate with AI assistants like Claude for code quality checks.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is mcp-tools-py free or open source?
Yes, mcp-tools-py is open source on GitHub (MIT).
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