Agentic ForgeBuild Efficient AI Agents

A research platform exploring smarter tool management, token-efficient formats, and seamless protocol interoperability for AI agents.

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🎯

Orchestrator

Standalone LLM loop management with model routing, tool routing, and observability hooks.

🛡️

Armory

Like OpenRouter for tools — one unified MCP interface to many backends (MCP servers, REST APIs, local functions).

🧠

Tool RAG

Dynamic tool selection via semantic search. 3x accuracy improvement, 50% context reduction.

💻

Interfaces

CLI, WebSocket API, and Python SDK for flexible integration into any system.

🔨

Anvil

CLI and web-based inspector for testing and debugging MCP servers during development.

Who Is This For?

Audience	Use Case
AI Engineers	Building production agents with multi-model routing and tool orchestration
MCP Developers	Need a gateway to aggregate multiple MCP servers into one interface
Researchers	Exploring Tool RAG, TOON format, and agent efficiency optimizations
DevTools Builders	Looking for reference implementations of agent architectures

Key Innovations

💾 TOON Format

Token-Oriented Object Notation for 30-40% token reduction in tool results. Better accuracy than JSON.

🌐 Protocol Interop

Seamless translation between OpenAI, Anthropic, Gemini formats and MCP protocol.

🔧 Smart Routing

Rule-based routing to select models and tools based on task characteristics.

🔍 Observability

Hooks and middleware for logging, metrics, cost tracking, and custom logic injection.

Early Access

Agentic Forge is in active development. Core components are working - get started and try it yourself!

Agentic ForgeBuild Efficient AI Agents

Orchestrator

Armory

Tool RAG

Interfaces

Anvil

Who Is This For? ​

Key Innovations ​

💾 TOON Format ​

🌐 Protocol Interop ​