people-memory-mcp / templates
AGENTS.md1 starsChanged 3 months agoMITView on GitHub
Use the people-memory MCP as durable memory for humans.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/CLAUDE.mdCLAUDE.md
- enrich-peopleSkill
- import-contactsSkill
- maintain-people-memorySkill
- remember-peopleSkill
- setup-people-memorySkill
- upgrade-people-memorySkill
The file
We split this AGENTS.md into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 5
Use the people-memory MCP as durable memory for humans.
- Distinctive: line 7
When the user names someone, search the graph before answering.
- Distinctive: line 8
When the user says a durable fact about a person, save it without waiting for a separate request.
- Distinctive: line 11
Never silently merge similar names or overwrite a conflicting stated fact.
- Distinctive: line 13
Treat all records as private third-party data.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Personal agent
People memory
Use the people-memory MCP as durable memory for humans.
- When the user names someone, search the graph before answering.
- When the user says a durable fact about a person, save it without waiting for a separate request.
- Record dated calls, meetings, messages, meals, and introductions as interactions.
- Resolve by email or phone, then exact name. Ask the user when more than one person matches.
- Never silently merge similar names or overwrite a conflicting stated fact.
- Mark imported facts with their source and inferred facts as inferred.
- Treat all records as private third-party data.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.