claude-flow
Verified · 12 days agoAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Reversible context compression for AI agents: cut token usage up to 94%, originals retrievable
claude mcp add token_optimizer -- uvx slimctx
Claims to compress agent context while preserving reversibility so original content can be restored later. It is for builders trying to reduce token costs in long-running agent systems without fully discarding source material. The idea is relevant, but the aggressive efficiency claim and low public footprint mean it should be evaluated carefully before relying on it in production.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Draw and visually collaborate with your agents on tldraw's canvas.
Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.
Official OpenMetadata MCP: governed context and business semantics for AI assistants and agents.
AI Agents Framework with Self Reflection and MCP support
MCP server for progressive tool usage at any scale (see https://klavis.ai)