agentverse-memorylisted
Install: claude install-skill fetchai/agentverse-skills
# Agentverse Memory
## Overview
Give any AI agent persistent, graph-native memory. Agentverse Memory is a managed MCP service that exposes **35 JSON-RPC 2.0 tools** for:
| Memory Type | What it stores | Key tools |
|-------------|----------------|-----------|
| **Episodic** | Time-stamped events, observations, conversations | `memory_store_episode`, `memory_search_episodes` |
| **Entity** | Named entities with typed properties | `memory_store_entity`, `memory_get_entity` |
| **Graph** | Knowledge graph triples, traversal, pathfinding | `memory_traverse_graph`, `memory_find_path` |
| **Procedural** | Goal-directed skill sequences with outcome tracking | `memory_store_procedure`, `memory_match_procedure` |
| **Working** | Ephemeral key-value scratchpad (TTL-aware) | `memory_set_working`, `memory_get_working` |
| **Shared** | Multi-agent shared knowledge spaces | `memory_create_shared_space`, `memory_shared_query` |
| **Pheromone** | Stigmergic trails on memory paths | `memory_deposit_pheromone`, `memory_get_pheromone` |
**Key differentiators:**
- 🚀 **<5ms writes** — zero LLM at write time (TF-IDF only)
- 🌐 **Graph memory on free tier** — unlike Mem0 ($249/mo for graph)
- 🐜 **Pheromone-guided retrieval** — stigmergic trails boost frequently-used memories
- ⏱️ **Temporal validity** — every memory has `valid_at`/`invalid_at` for time-travel queries
- 🔗 **MCP-native** — works with Claude, Cursor, Codex, Copilot, Gemini CLI
## When to Use
- Agent needs to **remember things