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rekal vs fastmcp
rekal logo
rekal
★ 48
vs
fastmcp logo
fastmcp
★ 25.4k

rekal vs fastmcp

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.; fastmcp: FastMCP is a standard framework for building Model Context Protocol (MCP) applications, which connect LLMs to tools and data. It simplifies the process by automatically generating schemas, validation, and documentation for tools, and managing transport negotiation and authentication for server connections. FastMCP offers a comprehensive solution for developing, deploying, and scaling MCP-powered systems.

01

TL;DR

rekal logoChoose rekal if…

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

fastmcp logoChoose fastmcp if…

Building LLM applications that interact with custom tools and data sources

02

Side-by-Side Comparison

Field
rekal logorekal
fastmcp logofastmcp
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 48
★ 25.4k
License
MIT
Apache-2.0
Updated
2w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
llm, mcp, mcp-server
agents, fastmcp, llms
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
fastmcp logofastmcp
01Automatic schema, validation, and documentation generation for tools
02Managed transport negotiation, authentication, and protocol lifecycle for server connections
03Wraps Python functions into MCP-compliant tools, resources, and prompts (Servers)
04Connects to any MCP server with full protocol support (Clients)
05Provides interactive UIs for tools rendered directly in conversations (Apps)
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
fastmcp logofastmcp
↳Building LLM applications that interact with custom tools and data sources
↳Creating interactive conversational UIs for backend functionalities
↳Developing and deploying scalable MCP servers and clients
05

Best For

rekal logorekal
TrendingRAG / Knowledge BaseMemory & Context
fastmcp logofastmcp
Most PopularDev ToolingLLM Infra
FAQ

FAQ

What is the difference between rekal and fastmcp?
Both rekal and fastmcp are in the RAG / Knowledge Base category. rekal has 48 stars, while fastmcp has 25.4k stars.
Which is better, rekal or fastmcp?
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 fastmcp if Building LLM applications that interact with custom tools and data sources.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is fastmcp free or open source?
Yes, fastmcp is open source on GitHub (Apache-2.0).
→

Related

Alternatives to rekal →Alternatives to fastmcp →rekal details →fastmcp details →
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