braindump – Agent Memory

Local, searchable notes that persist across conversations. Silently capture contextual information as longer-term memory that survives beyond the current session.

Manual triggers:

• “use your brain” or “remember anything about…” — search braindump for relevant context before performing the task
• “braindump this” or “save this to memory” — store the current context/information for later retrieval

Setup

Before first use, verify the CLI is installed. If braindump is not found on PATH, install it:

curl -fsSL https://raw.githubusercontent.com/MohGanji/braindump/main/install.sh | bash

Or run the bundled installer:

bash "SKILL_DIR/scripts/install.sh"

After installation, verify with braindump --version.

Commands

# Save
braindump add <category> --title "..." --content "..." --tags "tag1,tag2"

# Retrieve
braindump search "query"
braindump list [category]
braindump get <category> "pattern"

# Manage
braindump update <id> --content "..."
braindump append <id> --content "additional info"
braindump delete <id>
braindump categories
braindump tags

Add --format json for programmatic use.

Autonomous Behavior

When to Store (Proactive)

Capture information that would be lost when the conversation ends:

• Business requirements, use cases, user stories
• Useful URLs and variables (API docs, endpoints, environment configs)
• API specifications, field mappings, data transformations
• System constraints, assumptions, exclusions
• Integration-specific behavior, quirks, gotchas
• Domain terminology, aliases, abbreviations
• Technical decisions with rationale
• Known issues, limitations, workarounds
• Configuration requirements, thresholds, defaults
• User preferences and project conventions
• External context shared by the user (specs, documentation)
• Resolved bugs and their solutions

When to Retrieve (Proactive)

Search braindump at the start of tasks that might benefit from prior context:

• Before implementing a feature in a domain previously discussed
• When the user references something from a past conversation
• When working with an API, integration, or system previously documented
• Before making architectural decisions that may have prior rationale recorded

Workflow

1. Before storing: search existing content first — update or append if found, add new note if not
2. Before working: search for relevant context that may inform the current task
3. Merge related information under existing categories/titles when possible
4. Preserve existing content unless contradicted by new information
5. Focus on evergreen knowledge, not conversation artifacts

Categories and Structure

Categories represent cohesive domain areas: an integration, a system capability, a distinct module, or a logical boundary. Choose categories intuitively based on context — use existing categories when appropriate, create new ones when needed.

Titles should be searchable keywords that narrow context effectively.

Content should be concise, fact-dense paragraphs. Use bullet points for lists. Include code examples only when they clarify behavior.

What NOT to Capture

• Temporary debugging sessions or transient state
• File paths or code snippets without context
• General programming knowledge available in docs
• Meta-commentary about the conversation itself
• Information that changes frequently without lasting value

Storage

~/.braindump/ — Plain text Markdown files with YAML frontmatter. Each category is a directory. An FTS5 SQLite index powers fast search.