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dory vs semble
dory logo
dory
★ 11
vs
semble logo
semble
★ 4.5k

dory vs semble

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.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

dory logoChoose dory if…

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

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
dory logodory
semble logosemble
Category
Memory & Context
RAG / Knowledge Base
Stars
★ 11
★ 4.5k
License
MIT
MIT
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai-agents, claude-code
agents, code-search, embeddings
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
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
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
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

dory logodory
TrendingMemory & ContextLLM Infra
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between dory and semble?
Both dory and semble are in the Memory & Context category. dory has 11 stars, while semble has 4.5k stars.
Which is better, dory or semble?
The best choice depends on your use case. Choose dory if Persistent memory across different coding agents (Claude, Codex, etc.), and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is dory free or open source?
Yes, dory is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to dory →Alternatives to semble →dory details →semble details →
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