.agents and claude-user-memory
These two tools are complements, with Weaverse/.agents providing the foundational AI agent framework for defining skills and commands, which VAMFI/claude-user-memory then leverages and orchestrates within a sophisticated autonomous agent substrate to implement research-plan-implement workflows for Claude Code CLI.
About .agents
Weaverse/.agents
Agents, skills, commands, and rules for AI-powered coding tools — used daily to supercharge development productivity.
Organized configuration system with 11 workflow commands, 4 specialized skills, and 5 coding convention rules that integrate via markdown-based files and symlinks into AI coding assistants like Claude Code. Includes system hooks for notifications, custom terminal status line showing session stats and git status, and enforces practices like spec-driven development and structured commit workflows. Designed as a modular, copyable toolkit where developers can adopt individual commands or the entire setup to standardize AI-assisted development processes across teams.
About claude-user-memory
VAMFI/claude-user-memory
Autonomous agent substrate for Claude Code CLI. Research→Plan→Implement workflows with quality gates, TDD enforcement, and multi-agent coordination. 4.8-5.5x faster development. Built on Anthropic's engineering research.
Coordinates 9 specialized agents (researcher, architect, implementer, debugger, deployer) through a Research→Plan→Implement pipeline with enforced quality gates (≥80% research confidence, ≥85% plan quality, passing tests) and persistent knowledge graph learning across sessions. Integrates with Claude Code CLI via direct agent invocation (`@chief-architect`, `@docs-researcher`) and CLI commands (`/workflow`, `/research`, `/plan`, `/implement`), with optional MCP server support for enhanced capabilities.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work