.claude/skills/mnemosyneRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Cognitive memory engine for AI agents: gives OpenClaw/Hermes human-like long-term memory using 140 years of cognitive psychology (compound-cue theory), not embeddings. Zero LLM API, zero vector DB, pure Markdown storage. Use when the agent needs cross-session recall of user facts, preferences, decisions, or conversation history; when setting up persistent memory that survives restarts; when the user asks 'do you remember X' or complains the agent forgets; when memory must stay 100% local with no API cost. Beats em…
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.claude/skills/mnemosyneRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/mnemosyneRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/mnemosyneRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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sha256:afebc1c517e8784398f8aa2d5d8937613ef080629fdd51ee1fed12e650f81641references/architecture.mdreferences/benchmark.mdreferences/hermes.mdskill-card.mdSKILL.md- Renamed the skill from "auto-memory" to "mnemosyne" and redefined purpose and description. - Fully replaced legacy script-based memory pipeline with a new cognitive psychology-based engine (compound-cue theory, no embeddings). - Switched memory management to pure local Markdown storage; removed dependencies on LLM APIs, vector databases, and embedding models. - Added benchmark references and protocol documents in the `references/` directory. - Deleted old user guides, scripts, auto-analysis tools, and command-line interfaces to reflect new architecture. - Updated protocol: memory integration now mandates reading/recalling via core engine scripts and injecting structured flashbacks before responses.