Rowboat

Rowboat is an LLM orchestration platform and multimodal AI agent framework. It coordinates large language models with external tools, automated web monitoring, and local data vaults to execute actions and retrieve real-time information.

The system operates as a local-first knowledge base, converting meeting notes and emails into a linked markdown knowledge graph. It functions as an automated market intelligence tool that tracks competitors and trends across the web to maintain updated information summaries.

The platform covers a broad range of productivity and automation capabilities, including the generation of professional documents and meeting briefs, voice audio processing for speech-to-text and text-to-speech, and a provider-agnostic model layer for switching between hosted APIs and local language models.

Features

Agentic Workflow Automation - Orchestrates AI agents to coordinate complex tasks and automate workflows by integrating external tools and project context.

LLM Application Orchestration - Coordinates large language models with external tools and local data to manage complex agentic workflows.

Automated Market Intelligence - Tracks competitors and market trends across the web to maintain live, automated information summaries.

External Service Integrations - Provides frameworks for connecting AI agents to external third-party services and databases for real-time data retrieval.

Knowledge Graph Construction - Converts unstructured meeting notes and emails into a persistent, linked markdown knowledge graph for project memory.

Local Model Integrations - Allows switching between hosted APIs and private, locally-hosted language model services to maintain data privacy.

Multimodal Agent Capabilities - Processes both voice audio and text to execute actions across third-party services and databases.

Local-First Knowledge Bases - Operates as a privacy-focused knowledge base that stores data locally as a linked markdown graph.

Personal Knowledge Management - Provides a local vault for capturing and organizing notes and markdown files to track project memories.

Markdown-Based Knowledge Bases - Organizes project memory into a linked knowledge graph using a system of markdown files and backlinks.

Local-First Databases - Utilizes a local-first database to store embeddings and processed information, ensuring data privacy and ownership.

Model Provider Integrations - Provides a provider-agnostic layer to seamlessly switch between local language models and hosted cloud APIs.

Model Abstraction Layers - Provides an abstraction layer allowing seamless switching between hosted cloud APIs and local language model weights.

Contextual Document Drafting - Generates polished professional documents including emails and slides using historical project context.

Market Intelligence Platforms - Monitors competitors and market trends across the web to maintain live, updated information summaries.

Briefing Material Synthesis - Synthesizes email threads and prior decisions into comprehensive briefing materials before scheduled meetings.

Productivity Suites - Integrates a suite of tools for generating professional business documents and meeting briefs.

Professional Document Generators - Generates professional briefs, emails, and presentation slides based on historical project context and requirements.

Standardized Protocol-Based Integrations - Implements a standardized communication interface to connect the core system with external database actions and third-party services.

Web Monitoring - Implements an automated system for monitoring web targets and summarizing trends to maintain live information updates.

Agent Frameworks - Tool for generating multi-agent workflows.

AI Agents - AI collaboration platform with integrated memory.

AI Agents and Automation - Open-source AI coworker that learns from your emails/meetings to automate drafting, prep, and tasks.

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Features

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