hellofriday.ai provides a complete agent harness that lets users define, run, and manage AI workflows through plain-language conversation. The platform handles memory, tools, scheduling, and orchestration, with transparent configuration and full observability across every run. It operates locally on the user's machine, connects to apps, tools, and MCP servers, and can be triggered from Slack, Discord, Telegram, WhatsApp, or Teams.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Product
Problem
Building and maintaining AI agents requires significant technical expertise and ongoing engineering effort. Teams face context rot as models degrade over long tasks, prompt drift as models and prompts change, and security vulnerabilities when agents access private data, untrusted content, and external communication channels.
Solution
hellofriday.ai provides a complete agent harness that converts plain-language descriptions into ready-to-run workflows. Users describe what they need and Friday configures the workflow, sets triggers, and chains steps—eliminating orchestration code and setup complexity. The platform manages memory, tools, scheduling, and orchestration, with transparent configuration files that users can read, version, and share. Workflows run on schedule or via chat triggers from Slack, Discord, Telegram, WhatsApp, or Teams, and data stays local on the user's machine. Every step is logged for full observability, and context is remembered and stored locally across runs to improve performance over time.
Target Audience
Primary users are AI practitioners and teams who need reliable, production-grade agents without building and maintaining custom harness infrastructure. The platform serves developers seeking code-free workflow creation as well as businesses wanting to automate recurring tasks with transparent, auditable AI operations.
Features
- Conversation-to-configuration engine that converts natural language into executable workflow configurations without requiring orchestration code
- Local-first architecture where data, workflows, and memory stay on the user's machine for privacy and control
- Built-in memory system that stores preferences, outcomes, and patterns across runs to improve agent performance
- Full observability with logged inputs, outputs, and timings for every step in each workflow
- Multi-platform integration allowing workflow triggers and management from Slack, Discord, Telegram, WhatsApp, and Teams
- Cross-tool orchestration connecting apps, scripts, and MCP servers into unified workflows
- Scheduled execution enabling automated runs at set times without user presence