Multi-Agent Systems

This cookbook demonstrates how to connect Claude agents to external systems using MCP (Model Context Protocol) servers for GitHub monitoring and CI workflows. The guide covers integrating Git and GitHub MCP servers to enable agents to interact with repositories, manage workflows, and perform observability tasks. By leveraging MCP servers, agents gain access to specialized tools for Git operations, GitHub platform integration, and CI/CD monitoring without relying on command-line interfaces.

This cookbook article introduces the Claude Agent SDK for building multi-agent systems, using a Chief of Staff agent for a startup as the primary example. It demonstrates key features including persistent memory via CLAUDE.md files, bash tool execution for Python scripts, and coordination of specialized subagents. The article progressively builds a comprehensive agent system that aggregates insights from multiple domains to provide executive summaries and actionable recommendations for a CEO managing a $10M Series A startup.

OpenClaw v2026.3.7 introduces major enhancements to context engine plugins, persistent channel bindings for Discord/Telegram, multi-language UI support (Spanish), improved web search capabilities, and Docker containerization optimizations. The release includes a breaking change requiring explicit gateway auth mode configuration. Key additions enable alternative context management strategies, durable ACP thread routing, per-topic agent overrides, and enhanced security with config validation.

Microsoft AutoGen python-v0.5.7 release introduces improvements to AzureAISearchTool with unified search methods (full-text, vector, and hybrid), enhanced SelectorGroupChat with model_context parameter for better speaker selection, and improved OTEL tracing with additional metadata. The release also includes various bug fixes and improvements to agent runtime, documentation, and integrations with external services like Anthropic Bedrock and MCP servers.

Microsoft AutoGen v0.6.0 introduces concurrent agent execution in GraphFlow with fan-out-fan-in patterns, callable conditions for edge routing, and a new OpenAIAgent backed by OpenAI's Response API. Key improvements include enhanced MCP support, AssistantAgent workbench capabilities, code executor optimizations, and expanded model client compatibility across Ollama, Anthropic Bedrock, and OpenAI platforms.

Microsoft AutoGen released python-v0.6.1 with bug fixes for GraphFlow cycle checking and graph validation logic. The release also adds function calls and results tracking in ToolCallSummaryMessage.

Microsoft AutoGen python-v0.6.2 introduces streaming tools with `BaseStreamTool` and `StreamWorkbench` support, adds `tool_choice` parameter to `ChatCompletionClient`, and enables `AssistantAgent` with an inner tool calling loop via `max_tool_iterations`. Additional features include OpenTelemetry GenAI traces, Mem0 memory extension, `output_task_messages` flag, GraphFlow improvements, and support for latest models like Gemini 2.5 Flash.

Microsoft AutoGen python-v0.6.4 release includes improvements to GraphFlow for better state management and task resumption, enhancements to Workbench implementations with tool name/description overrides, and fixes for function calling support and conversation context pollution. The release also adds new features like Qwen2.5VL support, DuckDuckGo search tools, and improved documentation generation.

Microsoft AutoGen python-v0.7.1 release introduces major features including OpenAIAgent support for built-in tools, nested Team participants in GroupChat, RedisMemory extension, and upgrades to latest MCP and GraphRAG versions. Key improvements also include an `include_name_in_message` flag for optional name fields in OpenAI messages, JSON schema format support, and various bug fixes for serialization and tool handling.

Microsoft AutoGen released python-v0.7.2 with several improvements including making DockerCommandLineCodeExecutor the default for MagenticOne team, adding approval_func option to CodeExecutorAgent, and adding parallel_tool_call support to OpenAI model client config. The release also includes bug fixes for structured logging serialization and new Redis agent memory support for JSON and MARKDOWN formats.

Microsoft AutoGen python-v0.7.3 release includes bug fixes for RedisStore serialization, OpenAIAgent function tool schema, and pydantic model typing with anyOf/oneOf support. The release also adds GPT-5 model info, ensures task runner tools are strict, and updates documentation with corrections for MCP examples and version references.

Microsoft AutoGen releases python-v0.7.4 with bug fixes for Redis deserialization errors and streaming support issues. The release includes documentation updates and version bumps, with contributions from new contributor BenConstable9.

Microsoft AutoGen releases python-v0.7.5 with 18 bug fixes and improvements including support for linear memory in RedisMemory, thinking mode support for Anthropic client, fixes for streaming response handling, GraphFlow cycle detection, and security enhancements with DockerCommandLineCodeExecutor. The release addresses issues with Bedrock streaming, JSON schema conversion, token counting, and MCP session management.

crewAI 1.8.0 introduces production-ready Flows and Crews architecture with native async chain support for agent-to-agent (a2a) communication, including poll/stream/push update mechanisms. The release adds human-in-the-loop (HITL) feedback capabilities for Flows, streaming tool call events, and enhanced event handling through improved EventListener and TraceCollectionListener.

crewAI 1.8.1 release introduces A2A (Agent-to-Agent) task execution utilities with server configuration and additional transports, along with bug fixes for Azure model support, flow execution error handling, and frame inspection depth. The release also includes documentation updates for A2A features and work-in-progress PII redaction documentation.

crewAI 1.9.0 introduces structured outputs and response_format support across providers, native multimodal file handling with OpenAI responses API, and Keycloak SSO provider support. The release includes improvements to tool calling, event ordering with parent-child hierarchy, a2a task execution utilities, and various bug fixes for file storage, API handling, and error management.

CrewAI 1.10.0 introduces enhanced MCP tool resolution, improved JSON argument parsing, user input handling in Flows, and migrates the CLI HTTP client from requests to httpx. The release includes 20+ bug fixes addressing tool validation, schema handling, callback execution, and race conditions, plus documentation updates for security guidance and 96 new integration actions.

Google ADK Python v1.20.0 introduces multi-provider LLM support (Claude, LiteLLM), streaming function call arguments, and a new APIRegistryToolset for Cloud API integration. The release includes numerous bug fixes for agent validation, response processing, path handling, and LLM compatibility improvements.

Google ADK Python v1.26.0 release introduces major features including intra-invocation token compaction, Apigee LLM chat completions integration, Agent Skills spec compliance, BigQuery search catalog support, and an Agent Registry system. The release also includes numerous bug fixes for streaming tools, memory services, authentication, and various integrations across core, models, tools, evals, and services components.

OpenClaw v2026.2.22 release adds Mistral provider support with memory embeddings and voice, introduces auto-updater functionality with dry-run preview, and expands channel integrations with native Synology Chat support. The release includes significant improvements to memory search with multilingual stop-word filtering (Spanish, Portuguese, Japanese, Korean, Arabic), enhanced Slack threading and media handling, and numerous bug fixes across Discord voice, Docker setup, webchat performance, and browser extension relay stability.