Features

• Session: Updated session summarization to retain full conversation history while marking summarized events as model-invisible.
• Session: Added backend-threaded summarization execution to avoid blocking front-end conversation turns.
• Skill: Added multi-user support for skill operations.

Bug Fixes

• Code Execution: Fixed the conflict between code execution and tool invocation where tool data could be lost after code execution.
• MCP: Added support for parsing and returning multiple MCP tool results in a single response.

Features

• Telemetry: Added OpenTelemetry metrics reporting and introduced custom_metrics to support framework metric reporting when parsing remote agent responses.
• Tools: Added web_search with DuckDuckGo and Google providers, and added web_fetch for webpage content retrieval.
• Docs/Examples: Added usage documentation and examples for web_search and web_fetch.

Features

• Storage: Added the usage_metadata field to SQL storage and introduced automatic migration for missing columns.
• Skill: Added cross-session skill state persistence so loaded skills can be reused across sessions, reducing repeated skill loading and unnecessary retry turns.
• Skill: Added skill install/uninstall awareness so the model can detect skill lifecycle changes and avoid missing-skill lookups or calls to uninstalled skills.
• Session: Added usage_metadata support in SQL session storage for persisting and reading token usage statistics.

Bug Fixes

• Skill: Reduced hallucinated skill command generation when users intend to run commands, lowering invalid command attempts and retry loops.

Features

• Unified Agent framework with LlmAgent, LangGraphAgent and TransferAgent
• Multi-agent orchestration with built-in Chain, Parallel, and Cycle patterns, plus Team and nested Team collaboration
• Human-in-the-loop workflows with pause, review, and resume support for long-running tasks
• Rich tool ecosystem including built-in file/shell tools, MCP tools, LangChain tools, and extensible third-party integrations
• Extensible Skill system with local and HTTP distribution, dynamic loading, timeout control, and sandbox execution
• Code execution support with async runtime and sandbox/container execution options
• Session and memory services with in-memory, Redis, and SQL backends, including filtering, summarization, and scheduled cleanup
• RAG and knowledge capabilities through LangchainKnowledge with loaders, splitters, embedders, vector stores, retrievers, and prompt templates
• Evaluation framework with trajectory and response quality assessment, LLM-judge metrics, parallel evaluation, and JSON reporting
• Service and protocol integrations for A2A, AG-UI, and OpenClaw runtime scenarios
• OpenClaw runtime capabilities for gateway/chat/ui/deps workflows with pluggable channels, tools, skills, session and memory integration
• OpenClaw skill dependency management with profile-based inspection and install planning for common runtime environments
• Observability via tracing support, including end-to-end execution flow, tool-call traces, and cancellation traces
• Developer experience support with practical examples and DebugServer for local development and validation