Agent Memory
by Echo Rose
"Complete AI agent memory management system -- short-term, long-term, episodic, semantic, and procedural memory with vec
- Build persistent long-term memory for coding assistants
- Generate RAG pipelines for semantic information retrieval
- Configure automated memory consolidation and governance rules
$3.99
· or 20 creditsSecure checkout via Stripe
Included in download
- Build persistent long-term memory for coding assistants
- Generate RAG pipelines for semantic information retrieval
- Ready for Claude Code
See it in action
You say
Initialize a new memory management system for my agent with long-term and episodic storage enabled.
Your agent does
Memory system initialized.
- Config: memory_config.yaml created
- Components: Short-term, Long-term, Episodic
- Storage: Vector-ready Run 'agensi agent-memory generate' to build the directory.
Agent Memory
by Echo Rose
"Complete AI agent memory management system -- short-term, long-term, episodic, semantic, and procedural memory with vec
$3.99
· or 20 creditsSecure checkout via Stripe
Included in download
- Build persistent long-term memory for coding assistants
- Generate RAG pipelines for semantic information retrieval
- Ready for Claude Code
- Instant install
See it in action
You say
Initialize a new memory management system for my agent with long-term and episodic storage enabled.
Your agent does
Memory system initialized.
- Config: memory_config.yaml created
- Components: Short-term, Long-term, Episodic
- Storage: Vector-ready Run 'agensi agent-memory generate' to build the directory.
About This Skill
Agent Memory
"Complete AI agent memory management system -- short-term, long-term, episodic, semantic, and procedural memory with vector storage and governance."
A premium AI agent skill from Echo Rose.
Use Cases
- Build persistent long-term memory for coding assistants
- Generate RAG pipelines for semantic information retrieval
- Configure automated memory consolidation and governance rules
- Audit agent interactions with episodic memory reports
Known Limitations
- Requires external Python 3.8 environment.
- Does not provide the vector database hosting itself.
- Manual configuration of memory_config.yaml is required for custom schemas.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Permissions
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Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, VS Code, Windsurf, Manus, Aider, Cline, Amazon Q Developer, Tabnine, Roo Code, Augment Code, Trae, Kilo Code, Zed Editor, Google ADK
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