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dory vs fastmcp
dory logo
dory
★ 11
vs
fastmcp logo
fastmcp
★ 25.4k

dory vs fastmcp

dory: Dory is a local-first memory daemon that gives every AI agent the same brain. It uses Markdown as source of truth and SQLite as a disposable sidecar, providing a narrow API for agents to read and write shared memory. This eliminates the need to re-explain context across different tools like Claude, Codex, opencode, etc.; 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

dory logoChoose dory if…

Persistent memory across different coding agents (Claude, Codex, etc.)

fastmcp logoChoose fastmcp if…

Building LLM applications that interact with custom tools and data sources

02

Side-by-Side Comparison

Field
dory logodory
fastmcp logofastmcp
Category
Memory & Context
Dev Tooling
Stars
★ 11
★ 25.4k
License
MIT
Apache-2.0
Updated
6d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai-agents, claude-code
agents, fastmcp, llms
03

Features

dory logodory
01Local-first memory daemon with Markdown as source of truth
02Narrow API: wake, search, get, memory-write, link
03Native MCP support and HTTP daemon
04Supports multiple AI agents (Claude, Codex, opencode, etc.)
05Deployable via Docker, CLI, or as a durable service
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

dory logodory
↳Persistent memory across different coding agents (Claude, Codex, etc.)
↳Session context recovery and cross-tool state management
↳Human-readable audit trail via Markdown and git
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

dory logodory
TrendingMemory & ContextLLM Infra
fastmcp logofastmcp
Most PopularDev ToolingLLM Infra
FAQ

FAQ

What is the difference between dory and fastmcp?
Both dory and fastmcp are in the Memory & Context category. dory has 11 stars, while fastmcp has 25.4k stars.
Which is better, dory or fastmcp?
The best choice depends on your use case. Choose dory if Persistent memory across different coding agents (Claude, Codex, etc.), and fastmcp if Building LLM applications that interact with custom tools and data sources.
Is dory free or open source?
Yes, dory 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 dory →Alternatives to fastmcp →dory details →fastmcp details →
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