Cursor rule
Rules that make an AI assistant automatically retrieve and save team memories during conversations.
464 tagged LLM, measured the same way as everything else here.
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Cursor rule
Rules that make an AI assistant automatically retrieve and save team memories during conversations.
Cursor rule
A rule requiring an AI agent to ask a person for confirmation before changing code or carrying out major operations. It specifies what the confirmation must include and lists limited read-only exceptions.
Cursor rule
A set of rules for creating and querying a visual map of how services and repositories in a product relate to one another. The map is shown in Memforge WebUI, a browser interface for viewing this information.
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Cursor rule "api-contracts" from coeusyk/inference-x, covering api contract rules, phase 1 contract and contract design rules.
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Cursor rule "backend-python" from coeusyk/inference-x, covering backend python rules, stack assumptions, code style, fastapi conventions and schema conventions.
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Cursor rule "project" from coeusyk/inference-x, covering inferencex project rules, repo boundaries, path handling, working style and quality bar.
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Backend development rules for XX Chat AI using Fastify, server-sent events, provider integrations, and SQLite. Server-sent events are a way to stream updates from a server to a browser.
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A set of frontend coding conventions for XX Chat AI, covering React, server-sent events (SSE), Zustand, and Streamdown. The description does not provide the actual conventions.
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A project-planning rule that checks whether docs/plan.md, a Markdown file describing the full-stack implementation plan, still matches recent project changes.
teamstove/organized-context-datastore-mcp
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Repository notes describing the background, purpose, and overall context of an OCD MCP project. A repository is the project folder containing its code and related files.
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This is engrava-mcp, a public MIT-licensed repository: Model Context Protocol server exposing Engrava as agent memory.
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Verified ground truth for the Vantio AI project — real build status, fabricated claims to reject, and source-of-truth file pointers across all four Vantio repos.
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You are running with the Mighty Router rules enabled. Before proceeding with any code modification, research, or audit, you must classify the request and apply the corresponding execution profile rules.
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Keep README in sync when MCP tools change.
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a-memory: 4-tier AI agent memory in plain SQLite — 5 MCP primitives, hybrid FTS5+binary search, knowledge graphs, envelope encryption. Local-only.
Cursor rule
Horizon Fidelity Monitor — automatic conversation health tracking.
Cursor rule
Agent Toolbox pre-action firewall — gate shell commands and outbound URLs before execution.
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Prioritize and adhere to official documentation and established patterns before implementing custom solutions.
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The /plans directory contains a masterplan.md and step plans for each task. Always reference these plans for project context.
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Hard guardrails for working with Cloakbox / sensitive data.
starter-series/mcp-server-starter
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Read AGENTS.md first. Treat it as the source of truth for this repo's commands, invariants, public naming, release constraints, and first-user path.
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Deterministic state oracle and semantic action codec for computer-use agents.
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Semantic diff engine for AI agent behavior. Records agent traces as JSONL, embeds steps with all-MiniLM-L6-v2, aligns two traces by cosine similarity, detects the first semantic fork point.
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Decision staleness alerts for AI agents.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: