persistent-memory
Skill87 starsChanged 31 days agoMITView on GitHub
Capture a correction or preference into a durable per-topic file instead of re-learning it every session — the explicit workaround for the fact that Claude Code sessions and subagent dispatches don't remember each other. Use when the same kind of correction keeps recurring across sessions, when starting a task type you expect to repeat, or when delegate-to-subagents's reusable-template advice applies but you need the actual mechanism. Skip for a one-off correction that won't recur, and skip for anything project-wide enough to belong in CLAUDE.md instead. Bundles scripts/memory.py, a small CLI for reading, appending to, and listing memory files.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- yantrikos/yantrikdb-mcptheir own version, first seen Nov 2, 2026
- mthines/agent-skillstheir own version, first seen Oct 30, 2026
- edenbuilds/agentlooptheir own version, first seen Oct 13, 2026
- aws-solutions/konductortheir own version, first seen Sep 23, 2026
- dbozic/claude-skillstheir own version, first seen Sep 18, 2026
- rainypilgrimage/persistent-memorytheir own version, first seen Aug 2, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- yantrikos/yantrikdb-mcp★ 24same name
- mthines/agent-skills★ 20same name
- aws-solutions/konductor★ 11same name
- rainypilgrimage/persistent-memory★ 4same name
- NullLabTests/agentkit★ 2same name
- whaojie797-design/Novera-AI-skills★ 2same name
- dbozic/claude-skills★ 1same name
- edenbuilds/agentloop★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- adversarial-reviewSkill
- bite-sized-planSkill
- chestertons-fenceSkill
- clarify-the-real-problemSkill
- context-economySkill
- delegate-to-subagentsSkill
- design-for-the-next-readerSkill
- fresh-context-reviewSkill
- honest-artifactsSkill
- interface-contractsSkill
- measure-before-optimizingSkill
- observability-and-instrumentationSkill
- plan-on-diskSkill
- premortemSkill
- record-the-whySkill
- root-cause-disciplineSkill
- search-firstSkill
- security-review-by-haloSkill
- security-reviewSkill
- senior-engineer-mindsetSkill
- simplicity-budgetSkill
- surgical-changeSkill
- threat-and-scale-checkSkill
- verifiability-firstSkill
- verify-before-agreeingSkill
- verify-before-claimingSkill
- weigh-tradeoffsSkill
- widen-the-solution-spaceSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Read the file matching the model actually running before applying this skill.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Persistent Memory
The judgment call — when to persist something, what to write, how much — is calibrated per model. Pick the file for the model actually running:
| Model | File |
| Claude Opus 5.5 | opus-5-5.md |
| Claude Fable 5.1 | fable-5-1.md |
| Claude Sonnet 5 | sonnet-5.md |
| Claude Sonnet 5.5 | sonnet-5-5.md |
| Claude Haiku 5.5 | haiku-5-5.md |
| OpenAI GPT-6 Astra | gpt-6-astra.md |
| OpenAI GPT-6 Sol | gpt-6-sol.md |
| OpenAI GPT-6.1 Sol | gpt-6-1-sol.md |
| OpenAI GPT-6 Luna | gpt-6-luna.md |
Read the file matching the model actually running before applying this skill.
Running a model not listed above (an older generation, a different model family entirely)? sonnet-5.md carries the fullest general-purpose version of the underlying procedure — read that one rather than skipping this skill.
The script
scripts/memory.py gives you a plain-text-in, plain-text-out CLI over one memory file per topic — no database, no format to learn. This mechanism is the same regardless of which model is running:
python3 scripts/memory.py show <topic> # print the current file, or say there isn't one
python3 scripts/memory.py append <topic> "<note>" # add one dated line
python3 scripts/memory.py list # list every topic that has a memory fileFiles live under .claude/memory/<topic>.md by default (override with MEMORY_DIR). show is meant to run before starting a recurring task — read it the same way you'd read a reusable dispatch template before delegating. append is meant to run right after a correction, not batched up for later, or it doesn't get captured at all.
This script only reads and appends — it never rewrites or deletes an existing line, so pruning a stale entry (see the model file's "Keeping it honest") is a manual edit, not something the script does for you silently.
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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.