AgentIndex icon
AgentIndex
capa logo
capa
★ 718
vs
dsh-config-manager logo
dsh-config-manager
★ 227

capa vs dsh-config-manager

capa: CAPA is a package manager designed for AI coding agents, allowing developers to declare skills, tools, and rules in a single `capabilities.yaml` file. It then automatically deploys these configurations to over 35 different AI agent platforms, ensuring consistent and optimized setups.; dsh-config-manager: DSH Config Manager is a plugin for DeepSeek Harness that facilitates the backup, restoration, export, import, migration, and synchronization of its entire configuration. It allows users to manage settings, model providers, plugins, MCP servers, skills, agent presets, and workspaces, enabling one-click environment restoration on a new machine.

01

TL;DR

capa logo
capaDev Tooling · ★ 718

Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.

Read capa full review →
dsh-config-manager logo
dsh-config-managerDev Tooling · ★ 227

Backup DeepSeek Harness configuration.

Read dsh-config-manager full review →
02

Side-by-Side Comparison

Field
capa logocapa
dsh-config-manager logodsh-config-manager
Category
Dev Tooling
Dev Tooling
Stars
★ 718
★ 227
License
MIT
MIT
Install Command
curl -LsSf https://capa.infragate.ai/install.sh | sh
dsh plugin --profile web add dsh-config-manager@latest
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Management, Configuration Management, Development Tool
Configuration Management, Backup & Restore, DeepSeek Harness
03

Features

capa logocapa
01Centralized `capabilities.yaml` for managing agent content across 35+ AI agents.
02Automated deployment of rules, hooks, and tools into the native formats required by various agents.
03Optimized inference leading to 19-40% cheaper costs, achieved through lazy-loading and per-agent MCP servers.
04Granular tool access for sub-agents with filtered MCP endpoints, ensuring they only see necessary tools.
05Version-controlled configurations via `capabilities.lock`, ensuring reproducible setups across development environments.
dsh-config-manager logodsh-config-manager
01One-click Export and Import of DeepSeek Harness configuration.
02Safe Import Flow: Preview, conflict resolution, path auto-mapping, and automatic rollback.
03Remote Configuration Sync: Supports Git, WebDAV, S3-compatible object storage, and GitHub Gist.
04Scheduled Backups & Retention: Automatic full backups with customizable cadence and retention policies.
05Configuration Marketplace & Agent Migration: Browse shared configs and import setups (including chat history) from other AI agents.
04

Use Cases

capa logocapa
↳Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms.
↳Initializing new projects with a predefined set of agent capabilities and configurations.
↳Bootstrapping existing projects to bring their current capabilities under CAPA's centralized management.
↳Directly executing defined tools, sub-agents, and subcommands via a unified `capa sh` CLI interface.
dsh-config-manager logodsh-config-manager
↳Backup DeepSeek Harness configuration.
↳Restore DeepSeek Harness on another machine.
↳Migrate DSH configuration to a new computer.
↳Sync DSH configuration across machines.
↳Schedule automatic full backups.
05

Best For

capa logocapa
Trending
dsh-config-manager logodsh-config-manager
—
FAQ

FAQ

What is the difference between capa and dsh-config-manager?
Both capa and dsh-config-manager are in the Dev Tooling category. capa has 718 stars, while dsh-config-manager has 227 stars.
Which is better, capa or dsh-config-manager?
The best choice depends on your use case. Choose capa if Managing and synchronizing AI agent configurations (rules, tools, skills) across multiple coding agent platforms., and dsh-config-manager if Backup DeepSeek Harness configuration..
Is capa free or open source?
Yes, capa is open source on GitHub (MIT).
Is dsh-config-manager free or open source?
Yes, dsh-config-manager is open source on GitHub (MIT).
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