llmman

Name: llmman Review
Item: llmman
Rating: 3.6
Author: Aaron Matthews

Skill Development Solid

Works inClaude Code

Solid Scanned — metadata only

Decouples agent logic from model infrastructure, reducing vendor lock-in and enabling teams to swap models without code changes.

Run any agent on any model, models stored as OCI images

Run custom AI agents across different language models without code changes.
Deploy containerized models to production with standardized OCI image format.
Test agent performance against multiple models using the same codebase.

574 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

Decouples agent logic from model infrastructure, reducing vendor lock-in and enabling teams to swap models without code changes. Containerized model delivery simplifies deployment consistency across environments.

Best for

Engineering teams managing multi-model AI workflows who need portability and standardized deployment across development and production.

Works in

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Source

https://github.com/llmmanorg/llmman

By llmmanorg

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install llmmanorg/llmman

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me run custom AI agents across different language models without code changes

CostFree

Trust Signals Auto-scanned

Stars574Contributors22Last updated2026-10-30LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-30 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 513 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.60 / 5.00 SolidEvaluatedSep 2026

Scored from trust signals (evidence-eval-v1): 513 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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