agents-with-mcp-on-databricks-apps: Skill for Claude Code

.claude/skills/managed-memory/SKILL.md

managed-memory is a skill for Claude Code from databricks-solutions/agents-with-mcp-on-databricks-apps. It costs 128 tokens per session (10,374 once invoked), scanned A, original, no licence file.

A setup for giving an AI agent long-term memory across sessions by storing it in Databricks-managed memory storage. Databricks is a data platform, and Unity Catalog provides governance for stored data.

In plain words
What is it for?
Use it in OpenAI Agents SDK or LangGraph agents that need durable user or task memory across sessions.
Why use it?
It lets an agent remember information between sessions without requiring the customer to operate separate memory infrastructure.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is databricks-solutions/agents-with-mcp-on-databricks-apps's own configuration. It tells Claude Code how to work on agents-with-mcp-on-databricks-apps itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents-with-mcp-on-databricks-apps configures →

Reuse

Borrowing it

Nothing to install: this file belongs to databricks-solutions/agents-with-mcp-on-databricks-apps. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/databricks-solutions/agents-with-mcp-on-databricks-apps/main/.claude/skills/managed-memory/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/databricks-solutions/agents-with-mcp-on-databricks-apps

Made for: Claude Code.

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.

agentmods badge for managed-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/databricks-solutions/agents-with-mcp-on-databricks-apps/managed-memory.svg)](https://agentmods.dev/skills/databricks-solutions/agents-with-mcp-on-databricks-apps/managed-memory)
Your own site
<a href="https://agentmods.dev/skills/databricks-solutions/agents-with-mcp-on-databricks-apps/managed-memory"><img src="https://agentmods.dev/badge/skills/databricks-solutions/agents-with-mcp-on-databricks-apps/managed-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,374 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00128 $0.10374
Opus 5 $0.00064 $0.05187
Sonnet 5 $0.00026 $0.02075
Haiku 4.5 $0.00013 $0.01037

Measured 7d ago against content hash 1bd481177bc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

managed-memory scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sS -X POST "$DATABRICKS_HOST/api/2.1/unity-catalog/memory-stores" \
.claude/skills/managed-memory/SKILL.md · 525 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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.

  1. 7d ago First seen · 525 lines · 128 tokens per session scan A 1bd481177bc0

Subscribe to this mod's changes

managed-memory is a skill published in the GitHub repository databricks-solutions/agents-with-mcp-on-databricks-apps (5 stars, last pushed 1mo ago), with no licence file. It adds 128 tokens to every session and 10,374 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens