This entry duplicates AgentDB Memory Patterns, which is the one we list in search.

AgentDB Memory Patterns

Implement persistent memory patterns for AI agents using AgentDB.

Skill by harshvardhankulkarni

IndexedMIT

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

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What's inside

Skill name: AgentDB Memory Patterns
Description: Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
License: MIT
Instructions: 336 lines in SKILL.md · view on GitHub

Agent Skills spec issues

name: only lowercase letters, digits and single hyphens allowed
name: "AgentDB Memory Patterns" does not match folder "agentdb-memory-patterns"

Files (1)

SKILL.md

Read SKILL.md on GitHub

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Stars: 0
Forks: 0
Open issues: 0
Last commit (this folder): Aug 26, 2026 (2 months ago)
Repository: Not found on GitHub (deleted or private)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/harshvardhankulkarni/opencode-portable-setup
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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AgentDB Memory Patterns skill. Agent Mart. https://agentmart.dev/skills/harshvardhankulkarni-agentdb-memory-patterns (last updated 2026-10-24)

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