Claudius

nocturnusai

MCP

MCP server providing agent reasoning, memory, and token-optimized context management for AI applications.

by Auctalis·Auctalis/nocturnusai·Kotlin·v0.3.13
50· C
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npx -y nocturnusai-mcp
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About

The context engineering engine for AI agents: send only what changed.

Measured on live APIs. 15-turn product support conversation. Real `usage.input_tokens` counts. Run it yourself.

Claude Opus 4: 5.7× reduction. Gemini 2.0 Flash: 10.0×. Full calculations.

Reproducible token reduction — benchmark in the repo, methodology published, run it against your own workload Deterministic inference — same query, same result, every time. No embedding drift, no cosine similarity lottery Truth maintenance — retract a fact, all derived conclusions auto-retract. No stale context, no hallucination on operational state Plugs into existing stacks — LangChain, LlamaIndex, CrewAI, AutoGen, MCP, Vercel AI SDK, OpenAI Agents SDK, Mastra Benchmarkable against naive re…

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memorytoken-efficiency#agent-memory#reasoning#context-management#token-optimization#agentic-ai#agents#ai-agents#ai-memory#backward-chaining#context-engineering#cost-optimization#inference-engine#knowledge-graph#langchain#logic-programming#mcp#truth-maintenance