Voice Memory Features

Automatically remember, recall, and manage voice interactions including calls, meetings, coaching, sales, and journal entries using BlueColumn's seven voice...

🎙️ Voice Memory — Seven BlueColumn Voice Features

Automatic voice memory for every conversation. Powered by BlueColumn (bluecolumn.ai).

The 7 Features (from Voice-Memory.txt directive)

#	Feature	What it does	Module
1	Voice Memory	Automatically remember every conversation	features/voice_memory.py
2	Voice Context	Recall relevant memories before answering	features/voice_context.py
3	Voice Journal	Store every spoken thought as searchable memories	features/voice_journal.py
4	Voice CRM	Remember customer conversations and preferences	features/voice_crm.py
5	Voice Meeting Memory	Record, transcribe, summarize, and remember meetings	features/voice_meeting.py
6	Voice Coaching Memory	Track goals and progress across coaching sessions	features/voice_coaching.py
7	Voice Sales Memory	Remember objections, follow-ups, and customer history	features/voice_sales.py

Quick Start

bash

pip install -r requirements.txt
export BLUECOLUMN_API_KEY=bc_live_YOUR_KEY
python -m pytest tests/ -q   # run the offline tests

Core Engine (features/voice_memory.py)

• await remember(text, title, tags) → stores a conversation, returns session_id
• await recall(q) → natural-language recall, returns answer + sources
• await note(text, tags) → quick observation

Feature Usage Examples

1 · Voice Memory — remember every conversation

python

from features.voice_memory import remember
await remember("Caller said they prefer email follow-up.", title="Voice call - [phone]")

2 · Voice Context — recall before answering

python

from features.voice_context import get_context, build_context_block
ctx = await get_context("pricing question")
system_prompt += build_context_block(ctx["context"])

3 · Voice Journal — store spoken thoughts

python

from features.voice_journal import journal_entry
await journal_entry("Idea: build a voice CRM feature.", mood="excited")

4 · Voice CRM — customer conversations + preferences

python

from features.voice_crm import log_customer_interaction, customer_profile
await log_customer_interaction("Acme Corp", "discussed renewal, wants proposal")
print(await customer_profile("Acme Corp"))

5 · Voice Meeting Memory — record/summarize meetings

python

from features.voice_meeting import record_meeting, action_items
await record_meeting("Standup", transcript)
print(await action_items())

6 · Voice Coaching Memory — goals + progress

python

from features.voice_coaching import set_goal, log_checkin
await set_goal("Ship MVP by Sep")
await log_checkin("Ship MVP", "on track, risk: design sign-off")

7 · Voice Sales Memory — objections + follow-ups

python

from features.voice_sales import log_call, log_objection, pipeline
await log_call("Jane", "discussed pricing", objection="price", next_step="send discount")
print(await pipeline())

Integration with voice-agent-memory

Drop features/ next to the existing voice-agent-memory skill bridge. In bridge/server.py:

python

from features.voice_context import context_for_caller
recalled = await context_for_caller(caller_number, name)

Then store the transcript after the call with voice_memory.remember(...).

Tests

tests/test_voice_features.py runs fully offline with a mocked HTTP client — no API key or network needed.

Docs

Full API reference: https://bluecolumn.ai/docs — fields are text, q, tags.