/install local-agent-memory-v1
Local Agent Memory v1
Build or refine a reliable file-based memory system for an agent.
Core workflow
- Create or inspect these layers:
memory/YYYY-MM-DD.mdmemory/semantic/memory/procedural/MEMORY.md
- Keep
MEMORY.mdlightweight and routing-oriented. - Put stable facts in semantic files.
- Put repeatable methods in procedural files.
- Treat memory as a hint/index layer, not unquestionable truth.
- Re-verify current facts before taking real actions based on remembered information.
- Write destination files first, then update
MEMORY.mdonly if the change deserves long-term indexing.
Decision rules
Use daily memory for
- new events
- one-off attempts
- temporary troubleshooting detail
- anything not yet proven reusable
Use semantic memory for
- stable user preferences
- durable environment facts
- platform constraints
- lasting architecture or governance decisions
Use procedural memory for
- repeatable workflows
- checklists
- maintenance routines
- methods likely to be reused across sessions
Maintenance pattern
Run a lightweight dream/consolidation pass when memory starts to sprawl:
- read
MEMORY.md - read recent daily logs
- identify repeated facts or workflows
- extract stable facts into semantic memory
- extract repeatable methods into procedural memory
- prune low-value or duplicated summary lines from
MEMORY.md
Run a deeper pass for large daily logs or when the topic tree needs restructuring.
Guardrails
- Do not let
MEMORY.mdbecome a diary. - Do not promote everything that looks interesting.
- Do not rely on stale remembered facts for real actions.
- Do not mix memory maintenance with unrelated code changes unless the user asked for both.
- Prefer a few clear topic files over many overlapping files.
References
Read these only as needed:
references/architecture.mdfor the memory model and core disciplinesreferences/setup.mdfor minimum structure and topic layoutreferences/maintenance.mdfor governance and consolidation rules
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install local-agent-memory-v1 - After installation, invoke the skill by name or use
/local-agent-memory-v1 - Provide required inputs per the skill's parameter spec and get structured output
What is Local Agent Memory v1?
Build, maintain, or improve a layered local memory system for OpenClaw-style agents using markdown files instead of database-backed memory. Use when creating... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Local Agent Memory v1?
Run "/install local-agent-memory-v1" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Local Agent Memory v1 free?
Yes, Local Agent Memory v1 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Local Agent Memory v1 support?
Local Agent Memory v1 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Local Agent Memory v1?
It is built and maintained by lupinweng (@lupinweng); the current version is v1.0.0.