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First-party source

Ecosystem Primer

Choose between LangChain, LangGraph and Deep Agents from the required control model.

Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.

What it does

This orientation guide distinguishes an agent framework, a graph runtime and a more opinionated harness. It also routes readers toward relevant setup and specialist references.

Best for

Teams deciding how much agent orchestration infrastructure a task needs.

Tradeoffs and requirements

Framework selection advice depends on requirements and current APIs. A larger harness can add complexity and costs without improving a simple deterministic workflow.

Unknown; inspect source requirements and supporting scripts.

Install from the source

Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.

npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/ecosystem-primer --skill ecosystem-primer

Review pinned skill folder ↗ · CLI documentation ↗

After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.

Safety & review signals

Static review only. This is not a security audit or a guarantee of safety.

SKILL.md text only; scripts, dependencies and runtime behavior not audited.

  • Network Access — review the source context.

Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.

AI Craft Pad Skill Score

86/100 · Metadata coverage 100% · Model 1.0

Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.

Documentation
100/100
100
Maintenance
100/100
100
License Clarity
100/100
100
Repository Health
100/100
100
Compatibility Evidence
80/100
80
Popularity
56/100
56
Originality
80/100
80
Static Safety
60/100
60
Read the formula and limits →

Suggested workflow

List required state, tools, approval and deployment behavior, then select the smallest layer providing those capabilities.

How to judge the result

Prototype one representative task and failure case, checking the operational tradeoffs before treating a framework choice as settled.

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