cloutsimlabs
@cloutsimlabs
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4 MCP Servers4 Agentsacross 4 categoriesneruva_owner
Model Context Protocol server for Neruva -- typed agentic memory (Records: decisions, mistakes, llm_turns, tool_calls), knowledge graph with 4 engines (Hadamard / OPB / multi-shard / quorum / feature-bundle) + raw-text ingest + N-hop matrix-power derive +
...moreClouthier Simulation Labs <[email protected]>
Model Context Protocol server for Neruva — vector memory + HD-native substrate (KGs, analogy, causal do-operator, EFE planning).
...moreDrop-in auto-record wrapper for the Anthropic Python SDK — every LLM turn captured to Neruva Memory. Recall later via the Neruva MCP / API. Cross-session, cross-vendor, portable.
...moreLocal controller daemon for Neruva Cockpit -- the dashboard for agentic AI. Spawns and tails Claude Code sessions, streams them to your browser at app.neruva.io. No CLI knowledge required after install.
...moreDrop-in LangChain integration for Neruva agent memory. Wraps BaseChatMessageHistory + BaseMemory + BaseRetriever to auto-pipe agent turns into the Neruva substrate (records + KG + federated agent_context). One-line install, works with every LangChain LLM.
...moreDrop-in CrewAI memory integration for Neruva substrate. Replaces CrewAI's default storage with Records + KG federation. Persists across crew runs, supports semantic search via agent_recall, optional entity tracking via the HD knowledge graph. One-line install.
...moreDrop-in LangGraph integration for Neruva agent memory + reasoning substrate. v0.2.0 adds AUTO-PILOT: NeruvaAutoPilot (classify intent + reflect + extract via your LLM) + classify_intent_node / reflect_node factories for drop-in graph wiring. Plus NeruvaCheckpointSaver (BaseCheckpointSaver) + NeruvaContextStore (BaseStore) for graph state persistence. Substrate stays $0/call (pattern-C). Deterministic from seed. Works with every LangGraph StateGraph.
...moreGoose extension for Neruva agent memory + reasoning substrate. Wires Neruva's three auto-pilot layers (route intent / reflect / extract) into Goose's pre-message and post-tool events. Pattern-C: substrate emits the prompt, your LLM runs it, results pushed back. Substrate stays $0/call. Pairs with the @neruva/mcp Goose MCP extension for full tool surface.
...more