agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Content Preview
--- name: agent-memory-mcp description: "A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)." risk: unknown source: community date_added: "2026-02-27" --- # Agent Memory Skill This skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading/writing/searching of long-term memories. ## Prerequisites - Node.js (v18+) ## Setup 1.
How to Use
Recommended: Install to project (local)
mkdir -p .claude/skills
curl -o .claude/skills/agent-memory-mcp.md \
https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/agent-memory-mcp/SKILL.mdSkill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.
Alternative: Clone full repo
git clone https://github.com/sickn33/antigravity-awesome-skillsThen reference at skills/agent-memory-mcp/SKILL.md
Related Skills
antigravity-skill-orchestrator
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
general[orchestrationmeta-skillagent-memory
by sickn33 (Antigravity) · antigravity-awesome-skills
data-scraper-agent
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
data-scraper-agentdatascraperagent
by affaan-m · everything-claude-code
data-engineer
Designs, builds, and optimizes scalable and maintainable data-intensive applications, including ETL/ELT pipelines, data warehouses, and real-time streaming architectures. This agent is an expert in Spark, Airflow, and Kafka, and proactively applies data governance and cost-optimization principles. Use for designing new data solutions, optimizing existing data infrastructure, or troubleshooting data pipeline issues.
agentsdataengineeragent
by qdhenry · claude-command-suite
pr-review-toolkit/silent-failure-hunter
Use this agent when reviewing code changes in a pull request to identify silent failures, inadequate error handling, and inappropriate fallback behavior. This agent should be invoked proactively after completing a logical chunk of work that involves error handling, catch blocks, fallback logic, or any code that could potentially suppress errors. Examples:\n\n<example>\nContext: Daisy has just finished implementing a new feature that fetches data from an API with fallback behavior.\nDaisy: "I've added error handling to the API client. Can you review it?"\nAssistant: "Let me use the silent-failure-hunter agent to thoroughly examine the error handling in your changes."\n<Task tool invocation to launch silent-failure-hunter agent>\n</example>\n\n<example>\nContext: Daisy has created a PR with changes that include try-catch blocks.\nDaisy: "Please review PR #1234"\nAssistant: "I'll use the silent-failure-hunter agent to check for any silent failures or inadequate error handling in this PR."\n<Task tool invocation to launch silent-failure-hunter agent>\n</example>\n\n<example>\nContext: Daisy has just refactored error handling code.\nDaisy: "I've updated the error handling in the authentication module"\nAssistant: "Let me proactively use the silent-failure-hunter agent to ensure the error handling changes don't introduce silent failures."\n<Task tool invocation to launch silent-failure-hunter agent>\n</example>
agentagentpr-review-toolkitsilent-failure-hunter
by Anthropic · anthropic-official-plugins