OmniChat Harness: Multi-Provider Agent Harness & Orchestration Framework with MCP
Autonomous agents require robust execution harnesses that can route between multiple model providers (Anthropic Claude, OpenAI, Google Gemini, local Ollama/vLLM), handle real-time streaming deltas, and dynamically intera
Autonomous agents require robust execution harnesses that can route between multiple model providers (Anthropic Claude, OpenAI, Google Gemini, local Ollama/vLLM), handle real-time streaming deltas, and dynamically interact with Model Context Protocol (MCP) tool servers.
OmniChat Harness (GitHub: ziuus/omnichat-harness) is a TypeScript/Bun-powered orchestration framework and development environment built specifically for multi-provider agent development, streaming evaluation, and MCP server interop.
Key Architectural Capabilities
- Unified Multi-Provider Gateway: Transparent abstraction over Claude 3.5 Sonnet, GPT-4o, Gemini 2.0 Flash, and local models.
- Native Model Context Protocol (MCP): Full support for client connections to filesystem, database, browser, and custom MCP tools.
- Real-Time Streaming Engine: Zero-lag Server-Sent Events (SSE) and WebSocket conduits for token streaming and structured tool call dispatch.
- Agent Memory & Session Journaling: Append-only execution transcripts, prompt cache optimization, and replayable execution trees.
Quick Start with Bun
git clone https://github.com/ziuus/omnichat-harness.git
cd omnichat-harness
bun install
bun run dev
Explore the repository, star the project, and inspect our MCP integrations:
https://github.com/ziuus/omnichat-harness
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.