redhat-ai-americas/memory-hub

MemoryHub: Kubernetes-native agent memory component for OpenShift AI

20Stars on the repository
25Mods indexed here, across every type
todayLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied

ds

04

redhat-ai-americas/memory-hub

Command Claude Code

Break down complex tasks into sub-problems, solve them efficiently, then aggregate results.

not rated 20 today A 16 tokens

issue-tracker

07

redhat-ai-americas/memory-hub

Command Claude Code

Use this skill for ALL issue operations. Never create issues manually without using the skill -- it enforces our conventions.

not rated 20 today A 23 tokens

memoryhub-manage

08

redhat-ai-americas/memory-hub

Command Claude Code

Manage MemoryHub graph, curation, and project operations via the CLI. This skill wraps cold-path operations that are used less frequently than search/write/read.

not rated 20 today A 0 tokens

add-hook

12

redhat-ai-americas/memory-hub

Command Claude Code

Add a lifecycle hook to the agent. Hooks are shell commands that fire at specific points in the agent lifecycle, configured via YAML files in hooks/.

not rated 20 today A 0 tokens

add-memory

13

redhat-ai-americas/memory-hub

Command Claude Code

Wire MemoryHub integration into the agent for persistent memory across runs. This command configures both the SDK path (self.memory for agent code) and the MCP path (MemoryHub tools for the LLM).

not rated 20 today A 0 tokens

add-skill

14

redhat-ai-americas/memory-hub

Command Claude Code

Add a new skill directory following the agentskills.io specification. Skills are capabilities that are too large to keep in context all the time — they load on demand via progressive disclosure.

not rated 20 today A 0 tokens

add-tool

15

redhat-ai-americas/memory-hub

Command Claude Code

Add a new tool to the agent with the @tool decorator. This command walks through designing the tool, generating the code, and verifying it integrates with the tool registry.

not rated 20 today A 0 tokens

create-agent

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redhat-ai-americas/memory-hub

Command Claude Code

Scaffold the agent implementation from an approved AGENTPLAN.md. This command generates the agent subclass, tools, prompts, skills, rules, and configuration based on the plan produced by /plan-agent.

not rated 20 today A 0 tokens

deploy-agent

17

redhat-ai-americas/memory-hub

Command Claude Code

Build the container image and deploy the agent to OpenShift. This command handles the full path from source code to a running pod.

not rated 20 today B 0 tokens

exercise-agent

18

redhat-ai-americas/memory-hub

Command Claude Code

Test agent behavior through structured role-play scenarios. This command validates that the agent responds correctly, uses tools appropriately, and handles edge cases gracefully — all without deploying to OpenShift.

not rated 20 today A 0 tokens

plan-agent

19

redhat-ai-americas/memory-hub

Command Claude Code

Design an agent before writing any code. This command produces an AGENTPLAN.md file that captures what the agent does, what tools it needs, what prompts it uses, and how it behaves. The plan is reviewed and approved before any implementation begins.

not rated 20 today A 0 tokens

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