How real projects brief Codex, Cursor and every other agent that reads AGENTS.md.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/cpp/tensorrt_llm/batch_manager/kv_cache_manager_v2/AGENTS.md
This directory contains the C++ implementation of KVCacheManagerV2: allocation, prefix reuse, eviction, GPU/host/disk movement, page locking, and KV-cache event generation. Python accesses it through the nanobind bindings in cpp/tensorrt_llm/nanobind/batch_manager/kvCacheManagerV2.cpp. This…
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/jenkins/AGENTS.md
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/tensorrt_llm/runtime/kv_cache_manager_v2/AGENTS.md
This file provides guidance to coding agents when working with code in this directory. The Python surface of KVCacheManagerV2, the KV cache management subsystem for TensorRT-LLM. It manages GPU/host/disk memory…
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/tests/AGENTS.md
Scope: this directory and everything under it. Supplements the repo-root AGENTS.md. This is a reminder for whoever adds a test, not a hard gate. Not every test runs in CI…
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/tests/integration/defs/visual_gen/AGENTS.md
Scope: this directory (tests/integration/defs/visual_gen/). Supplements the repo-root AGENTS.md. A VisualGen test that cannot run because a resource CI is expected to provide is missing must fail loudly, not pytest.skip —…
NVIDIAAGENTS.mdNVIDIA/TensorRT-LLM/tests/unittest/_torch/visual_gen/AGENTS.md
Scope: this directory and everything under it (tests/unittest/_torch/visual_gen/, including multi_gpu/, kernels/, sparse_attention/). Supplements the repo-root AGENTS.md. A VisualGen test that cannot run because a resource CI is expected to provide…
ElasticAGENTS.mdelastic/logstash/AGENTS.md
Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and sends it to various destinations. It's part of the Elastic Stack and is a…
ElasticAGENTS.mdelastic/logstash/qa/AGENTS.md
Guidance for coding agents working with the QA test infrastructure. See also the root AGENTS.md for general project conventions. The qa/ directory contains three independent test suites: Each suite has…
ElasticAGENTS.mdelastic/logstash/x-pack/AGENTS.md
Guidance for coding agents working with X-Pack (Elastic-licensed) features. See also the root AGENTS.md for general project conventions. X-Pack provides commercial features that extend the Logstash core. Most features integrate…
MicrosoftAGENTS.mdmicrosoft/RD-Agent/rdagent/scenarios/rl/autorl_bench/agents/claude/AGENTS.md
You MUST maintain a file called summary.md in the workspace root. Update it after every training attempt and every submission, not just at the end.
MicrosoftAGENTS.mdmicrosoft/agent-framework/dotnet/AGENTS.md
Instructions for AI coding agents working in the .NET codebase. See ./.github/skills/build-and-test/SKILL.md for detailed instructions on building, testing, and linting projects. See ./.github/skills/project-structure/SKILL.md for an overview of the project structure. See ./.github/skills/pull-requests/SKILL.md for guidance on writing PR descriptions and handling/resolving PR review comments. The framework integrates with Microsoft.Extensions.AI and Microsoft.Extensions.AI.Abstractions (external NuGet packages) using types like IChatClient, FunctionInvokingChatClient, AITool, AIFunction, ChatMessage, and AIContent. When developing or reviewing code, verify adherence to these key design principles: Samples (in ./samples/ folder) should…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/dotnet/samples/AGENTS.md
This file documents the structure and conventions of the .NET samples so that agents (AI or human) can maintain them without rediscovering decisions. 1. Progressive complexity: Sections 01→05 build from "hello world" to production. Within 01-get-started, projects are numbered 01–05 and each step adds exactly one concept.
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/AGENTS.md
Instructions for AI coding agents working in the Python codebase. Key Documentation: - DEV_SETUP.md - Development environment setup and available poe tasks - CODING_STANDARD.md - Canonical Python engineering and API-design standards - samples/SAMPLE_GUIDELINES.md - Sample structure and guidelines - Python function-calling loop specification - Required behavior, scenario-to-test mapping, coverage gaps, and extra validation for function-loop changes Agent Skills (.github/skills/) — detailed, task-specific instructions loaded on demand: - python-development — Python development workflow and routing to the canonical standards and task-specific…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/a2a/AGENTS.md
Agent-to-Agent (A2A) protocol support for inter-agent communication. A2A protocol metadata is stored under additional_properties["a2a"]. The legacy a2a_metadata key remains readable and is dual-written during the compatibility period defined by spec 005. Consuming legacy-only input emits FutureWarning; new callers should write only the canonical a2a key.
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/ag-ui/AGENTS.md
AG-UI protocol integration for building agent UIs with the AG-UI standard. - AgentFrameworkAgent - Wraps agents for AG-UI compatibility - AgentFrameworkWorkflow - Wraps native Workflow objects, or accepts workflow_factory(thread_id) for thread-scoped workflow instances without subclassing - AGUIChatClient - Chat client that speaks AG-UI protocol - AGUIHttpService - HTTP service for AG-UI endpoints - agent_framework_messages_to_agui_host_history() - Converts persisted Agent Framework messages to bounded AG-UI Host history while retaining MCP widget payloads and model replay metadata - AGUIEventConverter - Converts between Agent…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/anthropic/AGENTS.md
Integration with Anthropic's Claude API.
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/azure-contentunderstanding/AGENTS.md
agent-framework-azure-contentunderstanding integrates Azure Content Understanding (CU) into the Agent Framework as a context provider. It automatically analyzes file attachments (documents, images, audio, video) and injects structured results into the LLM context. - _context_provider.py — Main provider implementation. Overrides before_run() to detect file attachments, call the CU API, manage session state with multi-document tracking, and auto-register retrieval tools for follow-up turns. - Analyzer auto-detection — When analyzer_id=None (default), _resolve_analyzer_id() selects the CU analyzer based on media type prefix: audio/ → prebuilt-audioSearch,…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/azure-cosmos/AGENTS.md
Azure Cosmos DB for NoSQL integrations for Agent Framework. Container name is configured on the provider. session_id is used as the partition key. Vector collections require an application-provided string key stored as id and a container partition key of /id. Container vector and indexing policies are created only by ensure_collection_exists() and validated before use. Existing incompatible containers are never updated or recreated. Supported vector element types are float32, int8, and uint8. Euclidean search is supported, but Euclidean score thresholds fail…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/azure-cosmos-memory/AGENTS.md
Long-term semantic memory for agents, backed by Azure Cosmos DB via the Azure Cosmos DB Agent Memory Toolkit. - CosmosMemoryContextProvider - Context provider that integrates Cosmos DB-backed semantic memory (facts, procedural/episodic memories, and user/thread summaries) into agents. - Requires the azure-cosmos-agent-memory toolkit and an AI Foundry endpoint (used for both embeddings and fact extraction). - Documentation and examples that show a literal Foundry project endpoint must use the full project-scoped form https://your-account.services.ai.azure.com/api/projects/your-project, including the /api/projects/your-project path. - Set a stable…
Steady11 mentions in 2 weeks
No other project uses it yet
MicrosoftAGENTS.mdmicrosoft/agent-framework/python/packages/bedrock/AGENTS.md
Integration with AWS Bedrock for LLM inference.
Steady11 mentions in 2 weeks
No other project uses it yet
An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
Setup and test commands, code style, and the rules a new contributor would need to know.
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.
