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.
- ✓License: NOASSERTION
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- !Inactive (>180d)
git clone https://github.com/VAMFI/claude-user-memory && cp claude-user-memory/*.md ~/.claude/agents/19 items in this repository
Cross-artifact consistency and coverage analysis specialist with Anthropic think protocol. Validates alignment between specifications, plans, tasks, and implementation. Use before implementation to catch conflicts early.
Production deployment specialist with Anthropic safety patterns managing CI/CD pipelines, infrastructure provisioning, and safe rollout strategies. Defaults to canary deployments with auto-rollback. Use for production deployments and release management.
Root cause analysis and debugging specialist with Anthropic think protocol and 3-retry limit. Focuses on systematic problem diagnosis, error tracing, and fix validation. Use for complex bugs and system failures.
Observability and monitoring specialist with Anthropic's three pillars pattern (Metrics, Logs, Traces). Sets up comprehensive monitoring, SLI/SLO tracking, and incident detection. Use for system observability and proactive alerting.
Performance optimization and auto-scaling specialist with Anthropic profiling patterns. Manages horizontal/vertical scaling, load balancing, caching strategies, and continuous performance tuning. Use for scaling challenges and performance work.
Master orchestrator for complex, multi-faceted software projects. Coordinates specialist agents (researchers, planners, implementers) to deliver cohesive solutions. Use for projects requiring 3+ capabilities or cross-domain work (frontend + backend + devops).
Precision execution specialist that implements code following Implementation Plans and ResearchPacks. Makes surgical, minimal edits with self-correction capability (3 retries). Always runs tests and validates against plan. Requires both ResearchPack and Implementation Plan as input.
High-speed documentation specialist. Fetches version-accurate docs from official sources to prevent coding from stale memory. Use before implementing any feature with external libraries or APIs. Delivers ResearchPack in < 2 minutes.
Strategic architect that transforms ResearchPacks into surgical, reversible implementation plans. Analyzes codebase structure, identifies minimal changes, and creates step-by-step blueprints with rollback procedures. Requires ResearchPack as input.
Analyze and optimize context configuration. Reviews CLAUDE.md, knowledge-core.md, and active context for optimization opportunities. Helps prevent context rot (39% improvement, 84% token reduction).
Quick command to invoke code-implementer to execute implementation with self-correction (up to 3 intelligent retries).
Quick command to invoke implementation-planner to create surgical, reversible implementation plans with rollback procedures.
Quick command to invoke docs-researcher for rapid documentation research. Fetches version-accurate, authoritative sources and creates ResearchPack.
Complete Research → Plan → Implement workflow in one command. Invokes chief-architect to orchestrate all phases with quality gates and self-correction.
Active context curation to fight context rot. Curates what goes into limited context window from constantly evolving information universe. 39% improvement, 84% token reduction.
Systematic methodology for identifying, capturing, and documenting reusable patterns from implementations. Enables automatic learning and knowledge-core.md updates. Claude invokes this after successful implementations to preserve institutional knowledge.
Systematic approach for creating minimal-change, reversible implementation plans. Claude invokes this skill when transforming requirements/research into executable blueprints. Emphasizes simplicity, safety, and clear verification steps.
Systematic validation methodology for ResearchPacks and Implementation Plans. Provides scoring rubrics and quality gates to ensure outputs meet standards before proceeding to next phase. Prevents garbage-in-garbage-out scenarios.
Systematic approach for gathering authoritative, version-accurate documentation. Claude invokes this skill when research is needed before implementation. Ensures truth over speed while achieving both.
Subagents overview
What people ask about claude-user-memory
What is VAMFI/claude-user-memory?
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VAMFI/claude-user-memory is subagents for the Claude AI ecosystem. 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. It has 193 GitHub stars and was last updated 6mo ago.
How do I install claude-user-memory?
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You can install claude-user-memory by cloning the repository (https://github.com/VAMFI/claude-user-memory) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is VAMFI/claude-user-memory safe to use?
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Our security agent has analyzed VAMFI/claude-user-memory and assigned a Trust Score of 67/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains VAMFI/claude-user-memory?
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VAMFI/claude-user-memory is maintained by VAMFI. The last recorded GitHub activity is from 6mo ago, with 0 open issues.
Are there alternatives to claude-user-memory?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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