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dory vs agents-best-practices
dory logo
dory
★ 11
vs
agents-best-practices logo
agents-best-practices
★ 1.1k

dory vs agents-best-practices

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.; agents-best-practices: A provider-neutral Agent Skill library for designing, auditing, and refactoring agentic harnesses compatible with Codex and Claude Code. It covers the full control plane of an agent runtime: typed tool design, permission checks, context management, memory, and observability. Targeted at developers building production-ready agent systems across any domain or AI provider.

01

TL;DR

dory logoChoose dory if…

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

agents-best-practices logoChoose agents-best-practices if…

Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)

02

Side-by-Side Comparison

Field
dory logodory
agents-best-practices logoagents-best-practices
Category
Memory & Context
Multi-Agent
Stars
★ 11
★ 1.1k
License
MIT
MIT
Updated
1w ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, ai-agents, claude-code
agent-skill, agent-skills, agentic-workflows
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
agents-best-practices logoagents-best-practices
01Provider-neutral agentic loop design compatible with OpenAI, Anthropic, and compatible APIs
02Typed tool definitions with structured results and runtime permission checks outside the model
03Planning mode and approval-gated execution patterns for safe agent actions
04Context management, memory, and auto-compaction with active state preservation
05Observability, evals, launch gates, and incident response checklists
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
agents-best-practices logoagents-best-practices
↳Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare)
↳Audit and refactor brittle or over-permissioned existing agent systems
↳Design narrow typed tools and connector governance for multi-system agents
05

Best For

dory logodory
TrendingMemory & ContextLLM Infra
agents-best-practices logoagents-best-practices
TrendingMulti-AgentDev Tooling
FAQ

FAQ

What is the difference between dory and agents-best-practices?
Both dory and agents-best-practices are in the Memory & Context category. dory has 11 stars, while agents-best-practices has 1.1k stars.
Which is better, dory or agents-best-practices?
The best choice depends on your use case. Choose dory if Persistent memory across different coding agents (Claude, Codex, etc.), and agents-best-practices if Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare).
Is dory free or open source?
Yes, dory is open source on GitHub (MIT).
Is agents-best-practices free or open source?
Yes, agents-best-practices is open source on GitHub (MIT).
→

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Alternatives to dory →Alternatives to agents-best-practices →dory details →agents-best-practices details →
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