Conversion and native card-generation helpers for hosting Agent Framework agents and workflows through an application-owned A2A server. - a2atorun(message, *, stream=False) converts an A2A Message to AgentRunArgs; pass inputmodes for optional advertised-mode validation. - a2afromrun(result) converts an Agent Framework response, message, or streaming update to A2A Part values; pass outputmodes for optional advertised-mode validation. - await AgentA2AAdapter(target, ...).getcard() creates a native AgentCard from an agent or AgentState, target metadata, and explicit A2A discovery policy. The adapter also re-exposes a2atorun(...) and…
Side-effect-free adapters and conversion helpers for hosting Agent Framework agents and workflows through the native MCP SDK. - AgentMCPTool(target, ...) generates one native MCP Tool from an agent, converts and executes calls, and optionally persists sessions through an existing AgentState. - WorkflowMCPTool(target, ...) derives one native MCP Tool from a workflow's single start-executor input type and converts completed workflow outputs. - mcptorun(arguments, *, argumentname="task", chatoptionarguments=()) converts MCP tool arguments to AgentRunArgs and copies only explicitly selected arguments into chat options.…
Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives. This package contains experimental sub-packages: Lab packages are experimental and may change frequently. They are not included in the standard agent-framework[all] installation. Lab is a standalone uv project, excluded from the root python workspace so its experimental dependencies do not constrain released provider packages. It resolves released Core and provider distributions by default. Run dependency and validation commands from python/packages/lab. Lab code must use APIs available in published…
Integration with Mem0 for agent memory management. - applicationid / agentid / user_id are the storage scope stamped on written memories. - searchapplicationid / searchagentid / searchuserid are the retrieval scope. - Retrieval scope never defaults to the storage scope. With no search* value set, beforerun retrieves nothing and logs a warning. This prevents memories written under a shared agent_id from being retrieved for every user of that agent. Mem0 telemetry is disabled by default. Set MEM0_TELEMETRY=true to enable.
Monty-backed CodeAct integrations for the Microsoft Agent Framework. [!NOTE] Beta package. Included in agent-framework[all] and available through the lazy-loading namespace agent_framework.monty. - MontyCodeActProvider — ContextProvider that injects a run-scoped execute_code tool plus dynamic CodeAct instructions. Mirrors the HyperlightCodeActProvider API for the parts that apply to a non-sandboxed Python interpreter. - MontyExecuteCodeTool — FunctionTool that wraps the Monty interpreter. Use directly for mixed-tool agents or manual static wiring. Mirrors HyperlightExecuteCodeTool. MontyCodeActProvider and MontyExecuteCodeTool both accept: - tools — host tool callables…
This file documents the structure and conventions of the Python samples so that agents (AI or human) can maintain them without rediscovering decisions. Durable Task and Azure Functions samples are maintained in the Durable Agent Framework extension. 1. Progressive complexity: Sections 01→05 build from "hello world" to production. Within 01-get-started, files are numbered 01–07 and each step adds exactly one concept. 3. Workflows preserved: 03-workflows/ keeps the upstream folder names and file names intact. Do not rename or restructure workflow…
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded project_endpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.
Keeps the Language Server Protocol specification and the vscode-languageserver-node TypeScript implementation aligned. Use when adding, changing, reviewing, or auditing LSP requests, notifications, capabilities, registration options, wire types, proposed or final status, since tags, meta-model data, or related documentation across microsoft/language-server-protocol and microsoft/vscode-languageserver-node.
Read this file at the start of every session. It contains the essential commands, conventions, and architecture knowledge needed to work on this repository. Do not create git commits automatically. The maintainer reviews all changes first and handles commits manually. Make changes locally, run fmt/clippy/tests to verify, and report back. Cargo workspace (resolver = "3"). Members are globbed from: - crates/libs/* - the published/library crates (windows, windows-sys, windows-core, plus windows-bindgen, metadata, rdl, and the newer reactor/canvas/webview/window crates). See docs/readme.md for…
Garnet is a high-performance remote cache-store from Microsoft Research implementing the Redis RESP wire protocol in C#/.NET. It uses Tsavorite as its storage engine. Full developer docs: https://microsoft.github.io/garnet/docs/dev/onboarding Note: Some website docs may reference the older two-store architecture (separate main store and object store). This branch uses a unified single-store design — see the Architecture section below for the current model. GARNETTESTPORT_SLOT=auto keeps this working copy's test ports clear of other working copies on the same machine; see Running tests…
Adds a new built-in RESP command to Garnet end-to-end. Covers enum registration, parsing, dispatch, RESP handler, API surface, storage session, RMW callbacks, command metadata JSON, ACL tests, and integration tests. Use when asked to "add a command", "implement RI.SET", "add RESP command", or any new server command. Do NOT use for custom extension commands (CustomRawStringFunctions) or object-type sub-operations.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
MicrosoftAGENTS.md