MeetMind

MeetMind is a local-first meeting assistant for capturing, transcribing, summarizing, and searching meetings from your own machine. It records system audio and microphone input without adding a bot to the call, stores meeting data locally, and supports local or bring-your-own LLM providers for analysis.

Key capabilities

• Capture microphone and system audio without a meeting bot
• Transcribe meetings and organize speaker segments
• Generate summaries, decisions, and action items
• Search across meeting transcripts with an optional local index
• Export meeting notes to Obsidian, GitHub Issues, Slack, or a signed transcript bundle
• Keep audio, transcripts, voiceprints, and indexes on the local device by default
• Use a local LLM through Ollama by default, or configure a hosted provider explicitly

Requirements

• Python 3.12 or 3.13
• macOS for native system-audio capture
• Optional: Ollama for fully local summarization
• Optional: SQLCipher support for encrypted local storage
• Optional: LanceDB support for hybrid transcript search

Installation

Install from the latest GitHub release (MeetMind is not on PyPI yet):

pip install meetmind-ai

Or install from source:

git clone https://github.com/openintelligence-labs/meetmind.git
cd meetmind
pip install .

For the recommended local setup, install the API, dashboard, encrypted storage, search, and audio extras:

pip install 'meetmind-ai[api,encrypted,storage,audio]'

Available extras:

Extra	Purpose
api	Local HTTP API, dashboard, and live event stream
encrypted	SQLCipher-backed encrypted local database
storage	LanceDB-backed transcript index and search
audio	Voice activity detection and voiceprint dependencies
dev	Test, lint, and contributor tooling

Verify the installation:

meetmind selftest

If the encrypted extra is not installed, MeetMind uses plain SQLite and reports that mode in meetmind status.

Native capture sidecars (macOS)

Live capture and on-device transcription use small Swift sidecar binaries (capture, Parakeet STT, diarization). Get them one of two ways:

• Download meetmind-sidecars-macos-arm64.tar.gz from the GitHub release, unpack it, and place the binaries on your PATH (or point MEETMIND_CAPTURE_SIDECAR / MEETMIND_STT_SIDECAR at them).
• Build from source (requires Xcode command line tools, macOS 14.4+):

cd sidecars/macos
swift build -c release

A source checkout is auto-discovered at sidecars/macos/.build/release/. meetmind selftest reports whether the sidecars are found. Without them, meetmind record --mock still exercises the full pipeline with synthetic audio. The STT sidecar downloads the Parakeet model (~690 MB, one time) on first use.

LLM configuration

MeetMind uses a local Ollama provider by default. To use Ollama:

brew install ollama
ollama serve &
ollama pull gemma3:4b

To use a hosted provider, configure it explicitly:

export MEETMIND_LLM_PROVIDER=openai
export MEETMIND_LLM_MODEL=gpt-4o-mini
export MEETMIND_LLM_API_KEY=sk-...

Supported provider configuration is controlled through environment variables. Run the following command to inspect the active provider, model, storage mode, and resolved paths:

meetmind status

Quick start

Open the dashboard

meetmind ui

The dashboard runs locally at http://127.0.0.1:7857. It provides meeting capture, transcript browsing, summaries, action items, decisions, search, and export controls.

Record a meeting

From the dashboard, choose a meeting title and capture mode, then start recording.

From the terminal:

meetmind record --duration 0 --emit-sse --persist-audio --title "Weekly sync"

Use Ctrl+C to stop an open-ended recording. The command prints the meeting ID on the last line.

For development or CI environments without native audio capture:

meetmind record --duration 60 --mock

Summarize a meeting

meetmind summarize "$MID"

This generates a meeting summary, action items, and decisions from the transcript.

Build the search index

meetmind index
meetmind search "snowflake migration"

Search can also be run from the dashboard. Results link back to matching transcript segments.

Export meeting output

meetmind export-obsidian "$MID" --vault ~/MyVault
meetmind export-github "$MID" --repo owner/name
meetmind export-slack "$MID"

Slack export requires a webhook URL:

export SLACK_WEBHOOK_URL=https://hooks.slack.com/services/...

To create a signed transcript bundle:

meetmind export-bundle "$MID" --out ./bundle.tar.gz
meetmind verify ./bundle.tar.gz

Common workflows

Record, summarize, index, and export

meetmind ui
meetmind record --emit-sse --persist-audio --title "Weekly sync"

MID=<meeting-id>
meetmind summarize "$MID"
meetmind index
meetmind export-slack "$MID"

Manage previous meetings

meetmind meetings

The dashboard also supports viewing transcripts, summaries, action items, decisions, and recorded audio when audio persistence is enabled.

Search one meeting

meetmind search "decided to ship in june" --meeting-id "$MID"

Speaker enrollment

Voiceprint identity is optional and should only be used with appropriate consent.

meetmind enroll "Alice" --audio ~/clips/alice.wav
meetmind speakers
meetmind diarize "$MID"

To remove an enrolled speaker:

meetmind forget "$SPEAKER_ID"

Privacy and security

MeetMind is designed for local-first meeting workflows.

• Audio, transcripts, voiceprints, local archives, and search indexes are stored on the device by default.
• The default LLM provider is local Ollama.
• Hosted LLM providers are opt-in and require explicit environment configuration.
• Local database encryption is available through the encrypted extra.
• Voiceprint enrollment is optional and should be consent-based.
• Retention controls are available for meetings and voiceprints.
• Redaction profiles are available before sharing transcripts externally.

Useful commands:

meetmind compliance dpia > dpia.md
meetmind compliance retention-sweep --dry-run
meetmind compliance retention-sweep

echo "Email Sam at sam@example.com" | meetmind redact --profile public_share

Redaction profiles:

Profile	Behavior
raw	No redaction
team_internal	Light redaction for internal sharing
public_share	Aggressive redaction for external sharing

Configuration

MeetMind is configured through environment variables.

Variable	Default	Description
MEETMIND_HOME	~/.meetmind	Root directory for local data, audio, indexes, and tokens
MEETMIND_LLM_PROVIDER	ollama	LLM provider used for summaries and extraction
MEETMIND_LLM_MODEL	Auto-detected	Model name for the configured provider
MEETMIND_LLM_BASE_URL	Provider default	Custom provider endpoint
MEETMIND_LLM_API_KEY	Unset	API key for hosted providers
MEETMIND_COACH_MODEL	Falls back to MEETMIND_LLM_MODEL	Model used by the live coaching workflow
MEETMIND_PERSIST_AUDIO	0	Set to 1 to persist recorded audio by default
MEETMIND_RETENTION_MEETINGS_DAYS	1095	Meeting retention period
MEETMIND_RETENTION_VOICEPRINT_DAYS	365	Voiceprint retention period
MEETMIND_DISABLE_ENCRYPTION	Unset	Set to 1 to disable encrypted storage lookup
MEETMIND_DB_PASSPHRASE	Unset	Explicit database passphrase override
SLACK_WEBHOOK_URL	Unset	Default Slack webhook for Slack export

Run meetmind status to see the resolved configuration.

Architecture

macOS audio sidecar / mock capture
        |
        v
Python recording pipeline
        |
        +--> voice activity detection
        +--> speech-to-text
        +--> speaker segmentation and diarization
        +--> local storage
        +--> dashboard event stream
        +--> optional search index
        |
        v
Analysis layer
        |
        +--> summary generation
        +--> action item extraction
        +--> decision extraction
        +--> export integrations

The project separates capture, transcription, storage, analysis, and export layers so each part can be developed or replaced independently.

Integrations

Integration	Status	Notes
Obsidian	Available	Filesystem export
GitHub Issues	Available	Uses authenticated gh CLI
Slack	Available	Uses Incoming Webhook
Signed transcript bundles	Available	Verifiable archive export
Notion	Planned	Requires OAuth setup
Linear	Planned	Requires OAuth setup

Platform support

Platform	Status
macOS	Primary supported platform for native capture
Linux	Native capture sidecar planned
Windows	Native capture sidecar planned

Mock recording is available for testing and development on unsupported environments.

Troubleshooting

Issue	Resolution
capture-sidecar or stt-sidecar warning in selftest	Build the native sidecars or use --mock for development capture
Database opens unencrypted	Install meetmind[encrypted] or check encryption configuration
Dashboard opens with no meetings	Record a test meeting and refresh the dashboard
Search returns no results	Run meetmind index to build or refresh the transcript index
Slack export reports no webhook	Set SLACK_WEBHOOK_URL or pass a webhook URL explicitly
GitHub export fails because gh is missing	Install the GitHub CLI and run gh auth login
LLM calls do not complete	Run meetmind status and verify provider, model, API key, and base URL

For a diagnostic report:

meetmind selftest --json

Development

Install development dependencies:

pip install -e '.[dev]'

Run checks:

pytest
ruff check .

Security-sensitive changes should preserve the local-first defaults and avoid silent network egress.

Contributing

Issues and pull requests are welcome. Before proposing a feature, check whether it changes the local-first privacy model or introduces external data transfer. Any external service integration should be explicit, configurable, and documented.

Security disclosures should be sent to security@openintelligence-labs.dev rather than filed as public issues.

License

MIT