* docs: Add coding agent skills demo video to getting started pages
Add Loom demo video embed showing how to build CrewAI agents and flows
using coding agent skills. Added to introduction, quickstart, and
installation pages across all languages (en, ko, pt-BR, ar).
* docs: update coding skills description with install instructions
Replace demo description text with actionable install copy across
all languages (en, ko, pt-BR, ar) in introduction, quickstart, and
installation pages.
Introduce the A2UI extension for declarative UI generation, including
support for both v0.8 and v0.9 protocol specs. Add A2UI content type
integration in A2A utils, along with schema definitions, catalog models,
and client extension improvements.
Enhance models with explicit defaults, field descriptions, and ConfigDict,
and improve typing and instance state handling across the extension.
Add schema conformance tests and align test structure.
Add and register A2UI documentation, including extension guide and
navigation updates.
- Apps run locally (with CREWAI_PLATFORM_INTEGRATION_TOKEN env var), not remotely
- Apps auth is an integration token, not OAuth
- Updated comparison tables and card descriptions in en, pt-BR, ko, ar
* docs: add Agent Capabilities overview page and improve Skills docs
- New 'Agent Capabilities' page explaining all 5 extension types (Tools, MCPs, Apps, Skills, Knowledge) with comparison table and decision guide
- Rewrite Skills page with practical examples showing Skills + Tools patterns, common FAQ, and Skills vs Knowledge comparison
- Add cross-reference callout on Tools page linking to the capabilities overview
- Add agent-capabilities to Core Concepts navigation (after agents)
* docs: add pt-BR and ko translations for agent-capabilities and updated skills/tools
* docs: add Arabic (ar) translations for agent-capabilities and updated skills/tools
- Add full feature permissions matrix (11 features × permission levels)
- Document Owner vs Member default permissions
- Add deployment guide: what permissions are needed to deploy from GitHub or Zip
- Document entity-level permissions (deployment permission types: run, traces, manage_settings, HITL, full_access)
- Document entity RBAC for env vars, LLM connections, and Git repositories
- Add common role patterns: Developer, Viewer/Stakeholder, Ops/Platform Admin
- Add quick-reference table for minimum deployment permissions
Addresses user feedback that RBAC was too restrictive and unclear:
members didn't know which permissions to configure for a developer profile.
introduce the agent skills standard for packaging reusable instructions that agents can discover and activate at runtime.
- skills defined via SKILL.md with yaml frontmatter and markdown body
- three-level progressive disclosure: metadata, instructions, resources
- filesystem discovery with directory name validation
- skill lifecycle events (discovery, loaded, activated, failed)
- crew-level skills resolved once and shared across agents
- skill context injected into both task execution and standalone kickoff
* feat: add dedicated Brave Search tools for web, news, image, video, local POIs, and Brave's newest LLM Context endpoint
* fix: normalize transformed response shape
* revert legacy tool name
* fix: schema change prevented property resolution
* Update tool.specs.json
* fix: add fallback for search_langugage
* simplify exports
* makes rate-limiting logic per-instance
* fix(brave-tools): correct _refine_response return type annotations
The abstract method and subclasses annotated _refine_response as returning
dict[str, Any] but most implementations actually return list[dict[str, Any]].
Updated base to return Any, and each subclass to match its actual return type.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Joao Moura <joaomdmoura@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* docs: update Composio tool docs across locales
Align the Composio automation docs with the new session-based example flow and keep localized pages in sync with the updated English content.
Made-with: Cursor
* docs: clarify manual user authentication wording
Refine the Composio auth section language to reflect session-based automatic auth during agent chat while keeping the manual `authorize` flow explicit.
Made-with: Cursor
* docs: sync updated Composio auth wording across locales
Propagate the latest English wording updates for CrewAI provider initialization and manual user authentication guidance to pt-BR and ko docs.
Made-with: Cursor
* fix: bedrock region was always set to "us-east-1" not respecting the env
var.
code had AWS_REGION_NAME referenced, but not used, unified to
AWS_DEFAULT_REGION as per documentation
* DRY code improvement and fix caught by tests.
* Supporting litellm configuration
* better DevEx
* Refactor: Update supported native providers and enhance memory handling
- Removed "groq" and "meta" from the list of supported native providers in `llm.py`.
- Added a safeguard in `flow.py` to ensure all background memory saves complete before returning.
- Improved error handling in `unified_memory.py` to prevent exceptions during shutdown, ensuring smoother memory operations and event bus interactions.
* Enhance Memory System with Consolidation and Learning Features
- Introduced memory consolidation mechanisms to prevent duplicate records during content saving, utilizing similarity checks and LLM decision-making.
- Implemented non-blocking save operations in the memory system, allowing agents to continue tasks while memory is being saved.
- Added support for learning from human feedback, enabling the system to distill lessons from past corrections and improve future outputs.
- Updated documentation to reflect new features and usage examples for memory consolidation and HITL learning.
* Enhance cyclic flow handling for or_() listeners
- Updated the Flow class to ensure that all fired or_() listeners are cleared between cycle iterations, allowing them to fire again in subsequent cycles. This change addresses a bug where listeners remained suppressed across iterations.
- Added regression tests to verify that or_() listeners fire correctly on every iteration in cyclic flows, ensuring expected behavior in complex routing scenarios.
