X @Avi Chawla

Agent Learning & Development - Current agents lack continual learning, hindering their ability to build intuition and expertise through experience [1][2] - A key challenge is enabling agents to learn from interactions and develop heuristics, similar to how humans master skills [1][2] - Composio is developing infrastructure for a shared learning layer, allowing agents to evolve and accumulate skills collectively [3] - This "skill layer" provides agents with an interface to interact with tools and build practical knowledge [4] Industry Trends & Alignment - Anthropic is exploring similar approaches, codifying agent behaviors as reusable skills [4] - The industry is moving towards a design pattern where agents progressively turn experience into composable skills [4] Composio's Solution - Composio's collective AI learning layer enables agents to share knowledge, allowing them to handle API edge cases and develop real intuition [5] - This approach facilitates continual learning, where agents accumulate skills through interaction rather than just memorizing [5]