memmy-memory
FeaturedUse the memmy-memory CLI when an agent needs to check the Memory service, open or close agent sessions, start or complete turns, search, add, read, or delete memories, or call uncommon HTTP routes through raw requests.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- MemTensor
- Repository
- MemTensor/memmy-agent
- Created
- 1 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
memai-memory
How to use the MemAI MCP server (long-term agent memory: one ACID SQLite store, BM25 keyword search) — which tool family to call when: pulse/search/recall/list_by_domain/list_recent/ list_domains/get_memory/help to read; note, reasoning, anti_pattern, checkpoint, handoff, diagram to write; diagram_*/get_diagram for flows; edit_memory/link_memories/set_confidence/also_domain/forget/purge_memory to curate — plus the session/domain/tags convention, with domains as nested PATHS and cross-listing (also), and review_after/source_ref for a memory that will go stale. Use at the START of a session or when RESUMING work (warming a cold session), whenever SAVING or LOOKING UP durable knowledge (a fact, a decision, a rule, a pitfall), when DOCUMENTING a routine as a flow, and before PAUSING or ENDING work (checkpoint). Also on "MemAI", "memory", "long-term memory", "warm up the session", "checkpoint", "what did the last session leave", "save this lesson", "anti-pattern", "diagram of the flow".
agent-memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
agent-memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.