memory
Store and retrieve durable learnings about how brayness actually works - success patterns, failure modes, corrections, and next-time hints.
Skill by scott-fryxell
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/scott-fryxell-memory
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/memory
What's inside
- Skill name
memory- Description
- Store and retrieve durable learnings about how brayness actually works - success patterns, failure modes, corrections, and next-time hints. Use before doing a task similar to a past one (check AGENTS.local.md Learnings first), and after a notable outcome or a user correction (append a dated learning to AGENTS.local.md, which is injected into every session). Also runs the critical refinement loop: on a correction or repeated failure, prove it with evidence, note the root cause, and propose a fix to the skill/process at fault rather than mutating it directly.
- License
- MIT
- Instructions
- 49 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Memory Learnings are written to `AGENTS.local.md` (or `AGENTS.md` for rules everyone must see). `AGENTS.local.md` is loaded into the system prompt every session by the agents-local extension, so a lesson written there is guaranteed to be in context next session - no on-demand recall needed. The same extension syncs the `work/` project table in that file from disk each session; edit descriptions there, not the row list. This separates it from the vault (your knowledge) and from `AGENTS.md` (standing rules). Only cross-cutting lessons learned from experience belong here. Standing policies go in `AGENTS.md`; fix-specific trivia stays with the project. Keep `AGENTS.local.md` small - every line costs tokens in every session. ## Write after a correction or outcome On a user correction, a repeated failure, or a notable outcome, append a dated bullet under a `## Learnings` section in `AGENTS.local.md`: ```markdown ## Learnings - YYYY-MM-DD: [the one reproducible lesson / hint] ``` Keep every entry to 5-7 words - one hint, no reasoning. If the lesson should guide every agent, put it in `AGENTS.md` instead - other harnesses read that, not `AGENTS.local.md`. ## Read before you act `AGENTS.local.md` is already in your system prompt every session - check it before acting. If a past entry says a given approach failed, say so and take the other route. ## Critical refinement loop On a user correction or a repeated failure, work the loop: 1. Name the exact correction/failure. 2. Gather evidence: the user's words, the failing command/output, the file path. 3. Decide whether the fault is in a skill/process or was a one-off mistake. 4. If it points at a skill defect, propose the change as a diff to that skill's `SKILL.md` (in chat, or a file under `plans/` for bigger rewrites) and wait for a human to approve before editing the production skill. 5. Append the learning to `AGENTS.local.md` Learnings regardless. The producer never grades its own homework: when reviewing your own work, reason from evidence and state what is wrong plainly.
From scott-fryxell/brayness, MIT.
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Signals
- Stars
- 125
- Forks
- 15
- Open issues
- 0
- Last commit (this folder)
- Sep 28, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/scott-fryxell/brayness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
memory skill. Agent Mart. https://agentmart.dev/skills/scott-fryxell-memory (last updated 2026-10-24)