jido_run Skill
jido_run is a Elixir AI agent skill for Codex with docker, git clone. Website, documentation, and examples for the Jido ecosystem
How to use jido_run Skill
Install or run
git clone git@github.com:agentjido/agentjido_xyz.git
cd agentjido_xyz
cp .env.example .env
mix setup
mix phx.serverClient configuration
[
{
"rank": 1,
"name": "AutoGen",
"slug": "01-autogen",
"source_file": "specs/competitors/01-autogen/briefing.md",
"topics_file": "specs/competitors/01-autogen/topics.md",
"screenshot_file": "specs/competitors/01-autogen/homepage.png",
"homepage": "https://microsoft.github.io/autogen/stable/",
"examples_file": "specs/competitors/01-autogen/examples.md",
"homepage_outline_file": "specs/competitors/01-autogen/homepage-outline.md"
},
{
"rank": 2,
"name": "LlamaIndex",
"slug": "02-llamaindex",
"source_file": "specs/competitors/02-llamaindex/briefing.md",
"topics_file": "specs/competitors/02-llamaindex/topics.md",
"screenshot_file": "specs/competitors/02-llamaindex/homepage.png",
"homepage": "https://www.llamaindex.ai/",
"examples_file": "specs/competitors/02-llamaindex/examples.md",
"homepage_outline_file": "specs/competitors/02-llamaindex/homepage-outline.md"
},
{
"rank": 3,
"name": "CrewAI",
"slug": "03-crewai",
"source_file": "specs/competitors/03-crewai/briefing.md",
"topics_file": "specs/competitors/03-crewai/topics.md",
"screenshot_file": "specs/competitors/03-crewai/homepage.png",
"homepage": "https://www.crewai.com/",
"examples_file": "specs/competitors/03-crewai/examples.md",
"homepage_outline_file": "specs/competitors/03-crewai/homepage-outline.md"
},
{
"rank": 4,
"name": "Semantic Kernel",
"slug": "04-semantic-kernel",
"source_file": "specs/competitors/04-semantic-kernel/briefing.md",
"topics_file": "specs/competitors/04-semantic-kernel/topics.md",
"screenshot_file": "specs/competitors/04-semantic-kernel/homepage.png",
"homepage": "https://learn.microsoft.com/en-us/semantic-kernel/",
"examples_file": "specs/compCompatible clients
What is jido_run Skill?
jido_run is a Elixir AI agent skill for Codex with docker, git clone. Website, documentation, and examples for the Jido ecosystem This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Browser use support
- Document generation support
- Dockerfile config support
- specs/competitors/manifest.json config support
Available tools
Technical details
Install or run jido_run using docker. Check agentjido/jido_run for the latest setup command.
- Built for Elixir
- Built for Docker
- Install or run with docker
- Install or run with git clone
- Works with Codex
- Uses stdio transport
- Database access
- Network access
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use jido_run Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for codex users.
Built with
Explore related resources
Frequently asked questions
What is jido_run?
jido_run is a Elixir AI agent skill for Codex with docker, git clone. Website, documentation, and examples for the Jido ecosystem
Who is jido_run best for?
jido_run is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, codex users.
How do I install jido_run?
Install or run jido_run using docker. Check jido_run for the latest setup command.
Is jido_run actively maintained?
jido_run may need a closer maintenance check before production use.
Auto-fetched from GitHub.
