Borrowing it
Nothing to install: this file belongs to elbruno/ElBruno.MempalaceNet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/elbruno/ElBruno.MempalaceNet/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/elbruno/ElBruno.MempalaceNetWrote 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.
[](https://agentmods.dev/instructions/elbruno/elbruno.mempalacenet/copilot-instructions)<a href="https://agentmods.dev/instructions/elbruno/elbruno.mempalacenet/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/elbruno/elbruno.mempalacenet/copilot-instructions/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.
<a href="https://agentmods.dev/instructions/elbruno/elbruno.mempalacenet/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/elbruno/elbruno.mempalacenet/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02605 | $0.02605 |
| Opus 5 | $0.01303 | $0.01303 |
| Sonnet 5 | $0.00521 | $0.00521 |
| Haiku 4.5 | $0.00261 | $0.00261 |
Grade A, and why
ElBruno.MempalaceNet copilot-instructions.md 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions for MemPalace.NET
This file provides high-level guidance for GitHub Copilot agents integrating MemPalace.NET into .NET applications.
Overview
MemPalace.NET is a local-first AI memory library that:
- Stores everything verbatim (no summarization)
- Searches semantically using vector embeddings
- Organizes knowledge in a hierarchical structure (wings → rooms → drawers)
- Runs locally by default with ONNX embeddings (no API keys required)
- Integrates with Microsoft.Extensions.AI and Microsoft Agent Framework
Installation
# NuGet package
dotnet add package mempalacenet --version 0.5.0-preview.1
# CLI tool
dotnet tool install -g mempalacenet --version 0.5.0-preview.1
Basic Usage Patterns
1. Initialize a Palace
using MemPalace;
// Create a new palace (SQLite backend with ONNX embeddings)
var palace = await Palace.Create("~/my-palace");
// Or specify custom configuration
var config = new PalaceConfig
{
Path = "~/my-palace",
EmbedderType = EmbedderType.Local, // ONNX (default)
Backend = BackendType.Sqlite // SQLite (default)
};
var palace = await Palace.Create(config);
2. Store Memories
// Store a simple memory
await palace.Store(
content: "Alice joined the engineering team in Q1 2024",
wing: "team-updates"
);
// Store with metadata
await palace.Store(
content: "User reported bug: login form crashes on Safari",
metadata: new Dictionary<string, object>
{
{ "source", "github-issues" },
{ "issue_id", "GH-42" },
{ "priority", "high" }
},
wing: "bugs"
);
// Store in a room (subcategory)
await palace.Store(
content: "Meeting notes: Q1 planning session",
wing: "meetings",
room: "planning"
);
3. Semantic Search
// Basic semantic search
var results = await palace.Search(
query: "Who joined the team recently?",
wing: "team-updates",
limit: 5
);
foreach (var result in results)
{
Console.WriteLine($"Score: {result.Score:F3}");
Console.WriteLine($"Content: {result.Memory.Content}");
Console.WriteLine($"Wing: {result.Memory.Wing}");
Console.WriteLine();
}
// Hybrid search (semantic + keyword)
var hybridResults = await palace.Search(
query: "React hooks",
wing: "docs",
limit: 10,
mode: SearchMode.Hybrid
);
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.
- 9d ago First seen · 375 lines · 2,605 tokens per session scan A 7f7403e86d61
ElBruno.MempalaceNet copilot-instructions.md is an instructions file published in the GitHub repository elbruno/ElBruno.MempalaceNet (11 stars, last pushed 2mo ago), licensed MIT. It adds 2,605 tokens to every session, about $0.0130 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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