Extract learned patterns, rules, and anti-patterns from past sessions.
npx skills add https://github.com/eaasxt/Farmhand --skill cass-memory-eaasxt
Please help me install this Agent Skill. Skill: cass-memory Source: https://github.com/eaasxt/Farmhand/tree/main/config/skills/cass-memory Command: npx skills add https://github.com/eaasxt/Farmhand --skill cass-memory-eaasxt
Cross-agent learning system. Extracts patterns, rules, and anti-patterns from past sessions to inform current decisions and reduce repeated effort.
Run cm context "describe task" to fetch relevant context, rules, and past insights before starting.
High-intent search queries and answers about installing and using this skill.
Retrieve historical context and learned rules by querying a task description through the retrieval API. This surfaces relevant patterns, past insights, and anti-patterns from indexed sessions to inform current work and avoid repeating mistakes.
Cross-agent memory aggregates patterns and anti-patterns from past sessions into a shared knowledge base. It improves task planning by providing context-aware retrieval of historical insights, enabling informed decisions across different sessions without repeating mistakes.
Yes, the system extracts anti-patterns from past sessions through pattern aggregation. It identifies and surfaces historical mistakes, allowing agents to avoid repeating past errors and ensure memory integrity through health checks and governance.
Yes, cross-agent learning requires session indexing to function. The system indexes past sessions to extract patterns and rules, enabling the retrieval API to fetch relevant context and historical insights before task execution begins.
Historical patterns only reflect past sessions and may not cover novel scenarios. Memory integrity depends on regular health checks and governance to ensure indexed patterns remain relevant and accurate for current cross-agent decisions.
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