ToolSEE: Tool Retrieval for Scalable Agents
The agent scalability bottleneck is OVER. Are your multi-tool LLM agents slow and expensive in production? Context overload is a reason. What if scaling AI agents with thousands of tools required only 5% of the context overhead?
STOP sending 10,000 tokens of context to your LLM agents! It’s slow and expensive.
Scaling multi-tool AI Agents has a crippling bottleneck: Context Overload. Every tool added increases latency and cost.
ToolSEE is a context optimizer that selects tools based on user query, and allows agents to search for more tools using their own query. ToolSEE lets agents scale to thousands of tools without context collapse.
This makes modern agents production-ready.
How would this transform your workflows? Share your thoughts below.
I would value any feedback and discussions from the community.
🔗 GitHub: https://github.com/tool-see/tool-see