What is orchardcore-ai-memory?

A guide for adding persistent, user-specific memory to Orchard Core AI features. It lets authenticated users’ durable, non-sensitive preferences and background details be remembered across conversations.

Use it to configure memory storage and retrieval, enable memory tools, retrieve relevant memories before a conversation, and set profile-level memory settings.

It removes the need to repeat the same background information in every conversation while keeping each user’s memories separate. It also explains the required search index backends.

orchardcore-ai-memory — Skill for Claude Code by CrestApps

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add CrestApps/CrestApps.AgentSkills --skill orchardcore-ai-memory

Clone the repo

git clone --depth 1 https://github.com/CrestApps/CrestApps.AgentSkills

Made for: Claude Code.

Or install crestapps-orchardcore, the plugin that ships this one along with the rest of its 94 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory/github.svg)](https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory)

Your own site

<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,480 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00197	$0.02480
Opus 5.5	$0.00079	$0.00992
Sonnet 5.5	$0.00039	$0.00496
Haiku 4.5	$0.00020	$0.00248

Measured 15d ago against content hash 34867e299042, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

orchardcore-ai-memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/crestapps-orchardcore/skills/orchardcore-ai-memory/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchard Core AI Memory

Configure persistent user memory

You are an Orchard Core expert. Generate configuration, recipes, and code that let the AI remember durable, non-sensitive facts about the signed-in user across conversations.

Guidelines

Memory works only for authenticated users. Every read and write is filtered by the user's ClaimTypes.NameIdentifier; anonymous users get no memory tools.
CrestApps.OrchardCore.AI.Memory is EnabledByDependencyOnly; it depends on CrestApps.OrchardCore.AI.Chat.Core and OrchardCore.Indexing. Enable a provider feature and it comes along.
Each memory is a record in the tenant store (AIMemoryEntry) plus one document in the configured master memory index (an index profile of type AIMemory).
The memory index names an embedding deployment from the embedding slot, so the deployment must declare textEmbedding. It is locked once the index exists.
Memory is for preferences, projects, recurring topics, and stable background. Never store passwords, keys, tokens, card or Social Security numbers, private keys, or connection strings; the save tool rejects obvious sensitive patterns.
Read the options through IOptionsMonitor<AIMemoryOptions> and IOptionsMonitor<ChatInteractionMemoryOptions>; saving the Memory settings no longer releases the tenant.
Install packages in the web/startup project.

Features

Feature	Feature ID	Depends on
AI Memory	`CrestApps.OrchardCore.AI.Memory`	`CrestApps.OrchardCore.AI.Chat.Core`, `OrchardCore.Indexing` (dependency only)
AI Memory indexing using Azure AI Search	`CrestApps.OrchardCore.AI.Memory.AzureAI`	AI Memory, `OrchardCore.Indexing`, `OrchardCore.AzureAI`
AI Memory indexing using Elasticsearch	`CrestApps.OrchardCore.AI.Memory.Elasticsearch`	AI Memory, `OrchardCore.Elasticsearch`

Provider details are in orchardcore-ai-memory-azureai and orchardcore-ai-memory-elasticsearch.

Enable memory with Elasticsearch

Read the full file on GitHub · 210 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

15d ago Changed · -35 lines · +31 tokens per session 34867e299042
2mo ago First seen · 245 lines · 166 tokens per session scan A f7980cf7cc40

Subscribe to this mod's changes

orchardcore-ai-memory is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 16d ago), licensed MIT. It adds 197 tokens to every session and 2,480 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Data and AI Memory and context RAG and vectors agent-skills ai ai-agents-framework dotnet mcp mcp-server

orchardcore-ai-memory next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
orchardcore-ai-memoryCrestApps/CrestApps.AgentSkills	Skill	13	16d ago	MIT	A	197	Claude Code
agent-v3-memory-specialistruvnet/ruflo	Skill	81k	yesterday	MIT	A	25	Claude Code
knowledge-orgbojieli/ai-agent-book	Skill	57k	29d ago	Apache-2.0	A	96	Claude Code, Codex
llm-wikiAr9av/obsidian-wiki	Skill	3.7k	yesterday	MIT	A	41	Claude Code
mem0-integrationa5c-ai/babysitter	Skill	1.9k	5d ago	MIT	A	27	Claude Code
install-openviking-memoryvolcengine/OpenViking	Skill	42k	yesterday	AGPL-3.0	A	191	Claude Code, Codex
microsoft-extensions-aimanagedcode/dotnet-skills	Skill	508	yesterday	MIT	A	128	Claude Code, Codex