orleans

A framework for building distributed .NET applications around independent entities called grains. Each grain represents an identity, such as a customer or device, and owns its behavior and state while the system handles activation and cluster failures.

In plain words
What is it for?
Use it to design grains, state storage, transactions, streams, timers, reminders, durable jobs, stateless workers, hosting, and failure behavior in Orleans systems.
Why use it?
It helps match application requirements such as consistency, durability, messaging, timing, and fan-out to the correct distributed-system building block. It also warns when Orleans is a poor fit, such as for ordinary database queries or finite batch jobs.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/managedcode/dotnet-skills/orleans
Any agent
npx skills add managedcode/dotnet-skills --skill orleans
Clone the repo
git clone --depth 1 https://github.com/managedcode/dotnet-skills

Made for: Claude Code, Codex.

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,494 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00093 $0.03494
Opus 5 $0.00046 $0.01747
Sonnet 5 $0.00019 $0.00699
Haiku 4.5 $0.00009 $0.00349

Measured yesterday against content hash a5d5e494e4b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orleans 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 yesterday.

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.

catalog/Frameworks/Orleans/skills/orleans/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft Orleans

Start With Purpose

Do not begin with an Orleans API. First state:

  1. the business identity that owns the behavior;
  2. the invariant and what must survive activation or cluster failure;
  3. the required consistency, query shape, acknowledgement, durability, replay, fan-out, and timing.

Then select the smallest Orleans primitive whose guarantees match those requirements. Reject Orleans when the problem is primarily shared-memory computation, a finite batch, relational querying, or global coordination with few independent entities.

Inspect package versions for version-sensitive work. Orleans 10.3.1 ships Microsoft.Orleans.DurableJobs* and Microsoft.Orleans.Journaling* as 10.3.1-alpha.1; treat them as experimental until that status changes.

Orleans 10.3 changes three upgrade boundaries: Newtonsoft storage now enforces the Orleans type allow-list, RPC telemetry keys changed, and custom grain-context activators must apply configurators before construction. Prefer generated/allowed types over global permissive JSON, and update persisted-state tests, dashboards, and custom activators together. The release also adds streaming, checkpoint, journal, transaction, file-storage, and System.Text.Json providers; select them by guarantees. 10.3.1 services analyzer contract identities.

The August 2026 overview highlights the built-in dashboard and stable Redis providers. Keep production telemetry explicit, and select Redis only when its guarantees match the workload.

Mental Model

  • A grain is a virtual actor with stable identity, behavior, and optional state, not a process, row, DTO, controller, or background job.
  • A grain reference is a location-transparent address. Getting a reference does not create a durable record or prove that an activation exists.
  • An activation is an ephemeral in-memory execution instance. Orleans creates, places, moves, deactivates, and recreates it. Never equate activation lifetime with entity lifetime.
  • A normal grain has at most one activation in the cluster by default and processes turns one at a time. This makes the grain a natural owner of per-identity invariants.
  • A silo hosts activations. Silos form a cluster; external clients or a co-hosted IGrainFactory call grains.
  • Calls are asynchronous messages even when they look like C# method calls. Network failure, timeout, serialization, retries, and duplicate side effects still matter.
  • A grain can model a digital twin when its identity and behavior map to a real or domain entity; that is a use case, not every grain's definition.
  • Orleans gives logical ownership and turn-based execution. It does not make external side effects transactional, turn arbitrary data into a queryable database, or provide exactly-once execution by default.

Read the full file on GitHub · 158 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.

  1. yesterday First seen · 158 lines · 93 tokens per session scan A a5d5e494e4b0

Subscribe to this mod's changes

orleans is a skill published in the GitHub repository managedcode/dotnet-skills (477 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 3,494 once invoked, about $0.0005 per session on Opus 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 2026-08-30.

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