Update repository-local durable preferences and workspace facts from user-authorized evidence, with an incremental local index. Use when asked to maintain agent memory or review prior authorized work.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Maintain local agent memory
Use [the shared memory role](../../roles/agents-memory-updater.md) and
[`infrastructure.core.agent_memory`](../../../infrastructure/core/agent_memory.py).
Read current memory before changing it. Keep durable facts in
`.agents/state/continual-learning-memory.json`; the tracked example defines its schema.
Use only user-provided or explicitly authorized transcript sources. Delegate
when the current task allows it; direct execution of the same role is also supported.
This workflow does not authorize contacting other chats or people, reading
unrelated private transcripts, or scheduling background work.
Retain the original legacy memory during migration. Save through the helper,
which writes the canonical path atomically. Keep runtime memory and transcript
indexes ignored; root `AGENTS.md` remains the public repository contract.
The line at the top of this page pins the label git:20261019.6b254e1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_r4gjphbcmistssnp
GET https://markdownregistry.com/api/v1/resolve?ref=docxology/template/continual-learning
GET https://markdownregistry.com/api/v1/blob/23ca06bd18b587c4fbddbf21474f8cbd424a040207f3f54a41565e385c539372
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
docxology/template · .agents/skills/advanced-evaluation/SKILL.md · This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison…
docxology/template · .agents/skills/bdi-mental-states/SKILL.md · This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions…
docxology/template · .agents/skills/context-compression/SKILL.md · This skill should be used when long-running agent sessions need context compression, structured summarization…
docxology/template · .agents/skills/context-degradation/SKILL.md · This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context…
docxology/template · .agents/skills/context-fundamentals/SKILL.md · This skill should be used to explain or reason about the foundational concepts of context engineering: what context is…
docxology/template · .agents/skills/context-optimization/SKILL.md · This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache…
docxology/template · .agents/skills/evaluation/SKILL.md · This skill should be used when building agent evaluation systems: deterministic checks, regression suites…
docxology/template · .agents/skills/filesystem-context/SKILL.md · This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading…
docxology/template · .agents/skills/harness-engineering/SKILL.md · This skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and…
docxology/template · .agents/skills/hosted-agents/SKILL.md · This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding…
outlinedriven/outline-driven-development · .devin/skills/continual-learning/SKILL.md · Use when asked to mine prior chats on a scheduled or watcher tick and maintain project memory. Not for remote…
outlinedriven/odin-claude-plugin · plugins/odin-knowledge/skills/continual-learning/SKILL.md · Use when asked to mine prior chats on a scheduled or watcher tick and maintain project memory. Not for remote…