Key-Value Store for Beads

Design document for bd kv commands Status: Draft - pending Dolt team review Date: 2026-01-21

Overview

Add a simple key-value store to beads for persisting lightweight metadata that doesn't fit the issue model. This enables storing things like:

• Feature flags (bd kv set debug_mode true)
• Project configuration (bd kv set entry_point src/main.ts)
• Workflow state across sessions (bd kv set current_sprint 42)
• Agent memory that survives context cycling

Commands

bd kv set <key> <value>   # Set a key-value pair
bd kv get <key>           # Get a value (exit 1 if not found)
bd kv delete <key>        # Delete a key
bd kv list [prefix]       # List all pairs (optionally filtered by prefix)

All commands support --json for machine-readable output.

Examples

# Store project metadata
bd kv set primary_language go
bd kv set entry_point cmd/bd/main.go

# Retrieve values
bd kv get primary_language
# Output: go

# List all pairs
bd kv list
# Output:
# primary_language = go
# entry_point = cmd/bd/main.go

# List with prefix filter
bd kv list entry
# Output:
# entry_point = cmd/bd/main.go

# JSON output
bd kv list --json
# Output: [{"key":"primary_language","value":"go","set_at":"2026-01-21T10:30:00Z","set_by":"beads/crew/collins"},...]

# Delete a key
bd kv delete primary_language

Schema

Dolt Table: kv

CREATE TABLE kv (
    `key` VARCHAR(255) PRIMARY KEY,
    value TEXT NOT NULL,
    set_at DATETIME NOT NULL,
    set_by VARCHAR(255) NOT NULL
);

Design Decisions

Why not use the config table?

• Config is for beads internal settings (sync mode, integrations, etc.)
• Mixing user data with internal config creates namespace collisions
• Separate table is cleaner and avoids future conflicts

Why not make KV pairs into issues/beads?

• KV is meant to be lightweight - issues have significant overhead (id, title, description, status, priority, type, etc.)
• Different lifecycle - KV is "set and forget", issues are "open → work → close"
• Would pollute bd list with non-work entries

Why track set_at and set_by?

• Attribution: know who set a value and when
• Debugging: trace when configuration changed
• Future: enables conflict resolution in multi-writer scenarios

Sync Behavior

KV data syncs via the standard beads-sync mechanism:

1. Export: On push, KV table exports to .beads/kv.jsonl
2. Import: On pull, .beads/kv.jsonl imports back to KV table
3. Merge: Last-write-wins based on set_at timestamp

JSONL Format

.beads/kv.jsonl - one JSON object per line:

{"key":"primary_language","value":"go","set_at":"2026-01-21T10:30:00Z","set_by":"beads/crew/collins"}
{"key":"entry_point","value":"cmd/bd/main.go","set_at":"2026-01-21T10:31:00Z","set_by":"human"}

This format is:

• Human-readable and diffable in git
• Streaming-friendly (append without rewriting)
• Consistent with issues.jsonl pattern

RPC Operations

For server mode, add these operations to the RPC protocol:

Future Considerations

These are NOT in scope for v1, but the design accommodates them:

1. Local-only keys: Convention could be _local. prefix for keys that don't sync
2. TTL/expiration: Could add expires_at column later
3. Namespaces: Could add namespace column for scoping
4. Value types: Currently string-only; could add --type=json flag later

Credit

This feature is inspired by PR #1164 from Piyush Jha (@Hackinet). The original PR proposed bd set/get/clear as top-level commands; this design groups them under bd kv for cleaner namespacing.

Questions for Dolt Team

1. Any concerns with the schema design?
2. Preferred approach for the DATETIME column - store as ISO string or native datetime?
3. Any Dolt-specific considerations for the sync/merge behavior?
4. Should we use Dolt's conflict resolution features, or handle last-write-wins in application code?