Tool Selection Python Packages

ratel-ai

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

jevcompass

Tool and skill suggestions for Codex Desktop and CLI, with local-first privacy and optional Jev ranking

decision-tune

DecisionTune 1.0: a 395M decision model. Pick an option or get P(yes) with one encoder pass. PyTorch, MLX, ONNX. Apache-2.0.

ratel-ai-telemetry

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

toolhunch

Your agent has too many tools. Hybrid search + a fast decision model (Jev, Laya) or an LLM pick the right one, or say "none". Pydantic AI integration and a ToolRet benchmark.

agentweave-router

Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.

axiolex

Shared tool discovery and execution for AI clients and applications across MCP, A2A, and internal tools—intent-ranked Top-K retrieval with centrally managed provider and tool changes

snap-router-mcp

Task-to-tool discovery over the merged x402 Bazaar + MCP Registry catalog — one fast pass, no LLM call.

dataanalysiscompare

A new package that helps users compare and choose the right data analysis tool by providing structured, expert-level insights. Users input their specific data analysis needs, project requirements, or