budmem — agentic-ai budmem, bud-runtime, community, agentic-ai, ide skills, ai-foundry, ai-runtime, compound-ai-systems, guardrails, inference

v1.0.0

Sobre este Skill

Perfect for AI Agents needing advanced memory management and knowledge retention capabilities, such as those built with Bud AI Foundry. Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.

# Core Topics

BudEcosystem BudEcosystem
[10]
[3]
Updated: 3/23/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
57
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing advanced memory management and knowledge retention capabilities, such as those built with Bud AI Foundry. Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.

Por que usar essa habilidade

Empowers agents to efficiently manage and recall knowledge using a comprehensive inference stack, supporting multi-cloud and multi-hardware environments, and handling memory operations through commands like add, search, promote, flush, and clean, all while utilizing metadata detection and duplicate checking.

Melhor para

Perfect for AI Agents needing advanced memory management and knowledge retention capabilities, such as those built with Bud AI Foundry.

Casos de Uso Práticos for budmem

Automating knowledge retention through daily and long-term memory files
Generating summaries of recent learnings and memory status
Searching and promoting relevant information across all memory files

! Segurança e Limitações

  • Requires access to MEMORY.md and memory/ folder
  • Limited to handling text-based content and metadata
  • Dependent on user input for commands and confirmation

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is budmem?

Perfect for AI Agents needing advanced memory management and knowledge retention capabilities, such as those built with Bud AI Foundry. Bud AI Foundry - A comprehensive inference stack for compound AI deployment, optimization and scaling. Bud Stack provides intelligent infrastructure automation, performance optimization, and seamless model deployment across multi-cloud/multi-hardware environments.

How do I install budmem?

Run the command: npx killer-skills add BudEcosystem/bud-runtime/budmem. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for budmem?

Key use cases include: Automating knowledge retention through daily and long-term memory files, Generating summaries of recent learnings and memory status, Searching and promoting relevant information across all memory files.

Which IDEs are compatible with budmem?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for budmem?

Requires access to MEMORY.md and memory/ folder. Limited to handling text-based content and metadata. Dependent on user input for commands and confirmation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add BudEcosystem/bud-runtime/budmem. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use budmem immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

budmem

Install budmem, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

budmem - Memory System

Handle memory operations based on the command in $ARGUMENTS:

Command Routing

Parse $ARGUMENTS and execute:

If starts withAction
(empty)Show status - list recent learnings
add <content>Add learning to today's file
search <query>Search across all memory files
promoteMove learnings to long-term memory
flushSave session learnings before context loss
cleanArchive files older than 30 days

Session Initialization

At session start, automatically:

  1. Read MEMORY.md to load long-term context
  2. Scan memory/ for files from the last 7 days
  3. Keep recent learnings in context for duplicate detection

Command: (empty) - Show Status

Display memory status and recent learnings.

Steps:

  1. Read MEMORY.md and summarize content
  2. List files in memory/ sorted by date (newest first)
  3. Show last 5 learnings from most recent files

Command: add <content>

Add a new learning to today's file.

Steps:

  1. Extract content from $ARGUMENTS (everything after "add ")
  2. Check for duplicates - search existing memories for similar content
  3. If duplicate found, show it and ask user to confirm
  4. Auto-detect metadata from content and conversation context
  5. Append to memory/YYYY-MM-DD.md using entry format below
  6. Confirm with one-line summary

Auto-detected metadata:

  • Category: correction | pattern | preference | architecture | convention Service: budapp | budadmin | budcluster | budsim | budgateway | budmodel | budmetrics | budnotify | ask-bud | budeval | budplayground | budCustomer | general
  • Tags: Extract key terms from content

Search across all memory files.

Steps:

  1. Extract query from $ARGUMENTS (everything after "search ")
  2. Search MEMORY.md for matches
  3. Search all files in memory/ folder
  4. Display matches with file location and context

Command: promote

Move learnings from daily files to MEMORY.md.

Steps:

  1. List recent learnings from memory/ files (last 7 days)
  2. Ask user which to promote (number or content)
  3. Append to MEMORY.md under appropriate section
  4. Mark as promoted in source file with [PROMOTED] tag

Command: flush

Save current session learnings before context is lost.

Steps:

  1. Review conversation for corrections, preferences, patterns
  2. Check each against existing memories for duplicates
  3. Present list and ask user to confirm each
  4. Write confirmed learnings to today's file
  5. Suggest any that should be promoted to MEMORY.md

Command: clean

Archive daily files older than 30 days.

Steps:

  1. Create memory/archive/ if needed
  2. Move files older than 30 days to archive
  3. Report: "Archived X files from [date range]"

Entry Format

markdown
1## [HH:MM] Title 2 3**Category**: correction | pattern | preference | architecture | convention 4**Service**: budapp | budadmin | budcluster | budsim | budgateway | general 5**Tags**: tag1, tag2 6 7> The learning content in one or two sentences. 8 9---

Auto-Learn Triggers

Detect these patterns in user messages and offer to save:

PatternExampleAction
remember:"remember: always use X"Save immediately
important:"important: never do Y"Save immediately
no, use X"no, use raw SQL"Prompt to save
actually"actually, I meant..."Prompt to save
don't use"don't use query builders"Prompt to save
prefer X"I prefer Zustand"Prompt to save
always X"always add error handling"Prompt to save
never X"never commit .env"Prompt to save

Hooks (Optional)

Add to .claude/settings.json for automatic reminders:

json
1{ 2 "hooks": { 3 "PreCompact": [ 4 { 5 "matcher": "auto", 6 "hooks": [ 7 { 8 "type": "command", 9 "command": "echo 'BUDMEM: Context compacting. Run /budmem flush to save learnings.'" 10 } 11 ] 12 } 13 ] 14 } 15}

File Structure

.claude/skills/budmem/
├── SKILL.md              # This file
├── MEMORY.md             # Long-term curated knowledge
└── memory/
    ├── YYYY-MM-DD.md     # Daily logs
    └── archive/          # Old files (30+ days)

MEMORY.md Sections

markdown
1# Long-term Memory 2 3## Architecture Decisions 4## Coding Preferences 5## Project Conventions 6## Service-Specific 7### budapp 8### budadmin 9### budcluster 10### budsim 11### budgateway 12### budmodel 13### budmetrics 14### budnotify 15### ask-bud 16### budeval 17### budplayground 18### budCustomer 19### general 20## Anti-patterns

Examples

Add a learning:

/budmem add Always use structlog for logging in Python services
> Checking duplicates... none found.
> Added to memory/2025-02-04.md (category: convention, service: general)

Search:

/budmem search logging
> Found 2 matches:
> - memory/2025-02-04.md: "Always use structlog for logging..."
> - MEMORY.md: "All services use structlog with JSON output"

Duplicate detection:

/budmem add Use structlog for logging
> Similar learning exists in memory/2025-02-04.md:
> "Always use structlog for logging in Python services"
> Still add? (y/n)

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