ToolForge
What it is
ToolForge is an adaptive optimization engine for AI agents that distills tool-call trajectories to improve performance. It analyzes MCP call logs to generate validation rules, learn parameter defaults, and mine high-frequency tool DAGs, which are then deployed via a proxy with canary releases and automatic rollback.
The problem it solves
LLM agents often suffer from inefficient tool usage, repeated errors, and high latency due to a lack of persistent learning from their own execution trajectories.
What you could use it for
- Optimizing LLM agent tool-calling efficiency and reducing retry rates
- Automating the generation of validation rules from historical tool failures
- Managing and versioning agent skills with credit scoring and A/B testing
- Providing a local dashboard for monitoring agent tool usage and performance metrics
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.