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agents-best-practices vs totem
agents-best-practices logo
agents-best-practices
★ 1.1k
vs
totem logo
totem
★ 13

agents-best-practices vs totem

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.; totem: Totem is a set of CLI tools that provides persistent memory and enforcement layer for AI agents. It uses deterministic hooks to remember lessons the AI forgets, catching architectural mistakes before they become permanent. Totem runs entirely offline and completes linting in under 2 seconds.

01

TL;DR

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

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

totem logoChoose totem if…

Prevent AI agents from repeating architectural mistakes

02

Side-by-Side Comparison

Field
agents-best-practices logoagents-best-practices
totem logototem
Category
Multi-Agent
Memory & Context
Stars
★ 1.1k
★ 13
License
MIT
Apache-2.0
Updated
2w ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skill, agent-skills, agentic-workflows
ai-agents, ast-grep, cli
03

Features

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
totem logototem
01Offline linting in under 2 seconds
02Convert plain-English lessons into enforceable rules
03Git hooks for pre-push enforcement
04Cross-repo semantic memory via local knowledge base
05MCP server for agent context retrieval
04

Use Cases

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
totem logototem
↳Prevent AI agents from repeating architectural mistakes
↳Enforce project-specific coding conventions and lessons
↳Provide persistent context to AI agents across sessions
05

Best For

agents-best-practices logoagents-best-practices
TrendingMulti-AgentDev Tooling
totem logototem
TrendingMemory & ContextDev Tooling
FAQ

FAQ

What is the difference between agents-best-practices and totem?
Both agents-best-practices and totem are in the Multi-Agent category. agents-best-practices has 1.1k stars, while totem has 13 stars.
Which is better, agents-best-practices or totem?
The best choice depends on your use case. Choose agents-best-practices if Generate MVP agent harness blueprints for any business domain (CRM, ops, finance, healthcare), and totem if Prevent AI agents from repeating architectural mistakes.
Is agents-best-practices free or open source?
Yes, agents-best-practices is open source on GitHub (MIT).
Is totem free or open source?
Yes, totem is open source on GitHub (Apache-2.0).
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