Tag: local-storage
Self-learning memory layer for coding agents
Instinct is a local memory layer that observes coding patterns, tracking confidence through repeated usage. It automatically promotes recurring fixes and preferences into actionable rules and suggestions for future sessions.
Persistent, Consensus-Validated Memory for AI Agents
This tool provides a local, persistent knowledge layer for agents, ensuring memories undergo BFT consensus validation and decay over time. It allows agents to recall context, track tasks, and maintain continuity across sessions without rely…
Manage contacts and send funds by name
This skill allows users to store name-to-address mappings locally, enabling them to send funds using a human-readable name rather than raw Sui addresses. It manages contacts via local file operations, requiring no blockchain lookups or netw…
Persistent Agent Memory via MCP
Provides agents with persistent memory across sessions by allowing them to recall past feedback and follow auto-generated prevention rules. The system uses an MCP server to capture task outcomes and track performance trends locally.