Human-Like Memory
HumanLike Memory / Human-Like Memory is a persistent AI agent memory system for long-term memory search, recall, and save. It helps agents store facts, prefe...
HumanLikeTeam
@humanlike2026
What This Skill Does
Persistent long-term memory system for AI agents that stores, searches, and recalls facts, preferences, and decisions across sessions. Agents can explicitly save durable information or search past context when needed.
Replaces relying on short-term conversation context by giving agents durable memory that persists across sessions without manual note-taking.
When to Use It
- Search past conversations for a specific user preference or fact
- Save a user's stated preference or decision for future reference
- Recall relevant context from earlier sessions when continuing a conversation
- Store a summary of key decisions made during a long interaction
- Retrieve a user's previously saved personal details like name or location
Install
$ openclaw skills install @humanlike2026/humanlike-memoryHuman-Like Memory Skill
Persistent AI agent memory system for Human-Like Memory.
HumanLike Memory, Human-Like Memory, and human like memory all refer to the same skill. It helps agents search long-term memory, recall past context, save durable information, and store facts, preferences, and decisions across sessions.
Search Aliases
- HumanLike Memory
- Human-Like Memory
- human like memory
- agent memory
- long-term memory
- memory recall
- memory search
- memory save
- conversation continuity
This skill supports both:
- Agent-triggered recall and save when the model judges memory is useful
- Explicit user invocation when the user directly asks to recall or store memory
This skill is intentionally not always-on:
- It should not recall on every turn by default
- It should not silently save every conversation turn by default
- It does not read
~/.openclaw/secrets.jsonor per-skillconfig.json - It reads configuration from OpenClaw config or injected environment variables only
If you want always-on automatic recall/storage, use the Human-Like Memory plugin instead of this skill.
Data And Network Disclosure
When the agent or user invokes this skill:
recall/searchsends your query,user_id, andagent_idtohttps://plugin.human-like.meor your configured base URLsave/save-batchsends the conversation content you explicitly pass to the same service- No local files, shell history, or unrelated environment variables are read or uploaded
- The runtime reads only the documented allowlisted
HUMAN_LIKE_MEM_*environment variables
Use When
- You want to explicitly search past memory
- You want to explicitly save a user fact, decision, preference, or summary
- The agent needs past context to answer well
- The agent should save a durable preference, decision, correction, or summary
Do Not Use When
- You want every-turn automatic recall or hook-level background saving
- You need hidden or silent network activity
- You want zero remote data transfer
Setup
1. Get API Key
Visit plugin.human-like.me and copy your mp_xxx key.
2. Configure Through OpenClaw
openclaw config set skills.entries.human-like-memory.enabled true --strict-json
openclaw config set skills.entries.human-like-memory.apiKey "mp_your_key_here"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_BASE_URL "https://plugin.human-like.me"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_USER_ID "openclaw-user"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_AGENT_ID "main"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_RECALL_ENABLED "true"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_AUTO_SAVE_ENABLED "true"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_SAVE_TRIGGER_TURNS "5"
If the user explicitly gives the API key in the current environment, the agent may run these openclaw config set commands on the user's behalf. Otherwise, do not invent or request a secret implicitly.
3. Verify
node {baseDir}/scripts/memory.mjs config
Expected output includes:
{
"apiKeyConfigured": true
}
Commands
Recall Or Search Memory
node {baseDir}/scripts/memory.mjs recall "<query>"
node {baseDir}/scripts/memory.mjs search "<query>"
Save One Turn
node {baseDir}/scripts/memory.mjs save "<user_message>" "<assistant_response>"
Save A Batch
echo '[{"role":"user","content":"..."},{"role":"assistant","content":"..."}]' | node {baseDir}/scripts/memory.mjs save-batch
Inspect Runtime Configuration
node {baseDir}/scripts/memory.mjs config
Agent Invocation Style
This skill may be called by the agent when memory is clearly useful.
Recommended behavior:
- Use
recall/searchwhen the user references prior work, prior preferences, prior decisions, or asks to continue something from earlier - Use
savewhen the user explicitly asks to remember something, corrects identity details, states a stable preference, or confirms an important decision - Use
save-batchafter a meaningful multi-turn discussion ifHUMAN_LIKE_MEM_AUTO_SAVE_ENABLED=trueand the current conversation has accumulated roughlyHUMAN_LIKE_MEM_SAVE_TRIGGER_TURNSturns - Do not call memory APIs for simple greetings or generic single-turn questions with no continuity value
This gives the agent autonomy, but keeps the skill in a smart-trigger mode instead of an always-on mode.
For practical examples, memory taxonomy, and extended guidance, see README.md and SECURITY.md.
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