7 projects
neruva-mcp
Verified skills for AI agents. Find, install and run helper code that a program has checked on cases it never saw, and build your own: every skill ships the exact checker that proved it, so you can re-run the evidence yourself instead of taking our word for it. Free to read and install, no key and no account. Works with any model that can call a function, from a frontier API to a 0.6B running on your laptop.
neruva-record
Auto-record + pre-action recall (mistakes AND solutions) + code-graph/consistency pushes for Claude Code on the Neruva substrate. v0.30 adds SOLUTION-recall: surface relevant prior decisions/fixes/probe-hits before an action -- reuse, don't re-derive. v0.29 multi-agent layers: AUTO_RESOURCE_CLAIM (confluent canonical-owner file partition so a swarm self-distributes with no orchestrator; sub-agents via actor-identity) + AUTO_CONSENSUS (Byzantine value-conflict flag).
neruva-control
Local loopback daemon for the Neruva substrate. Maintenance-only as of v0.10.0 -- the screen-control (Neruva Computer) and code-editing (Neruva Code) agents were retired in the 2026-05-18 substrate-first pivot and archived to _attic/. For new installs use neruva-mcp (Claude Code / Cursor / any MCP agent) or neruva-record (auto-record Claude Code sessions). The daemon still binds to 127.0.0.1:7331 with auth-token gating for users who want to host a local control plane for custom agents on the substrate.
neruva-goose
Goose 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.
neruva-crewai
Drop-in CrewAI memory integration for Neruva agent memory + reasoning substrate. v0.2.0 adds AUTO-PILOT: NeruvaAutoPilot (classify intent + reflect + extract via your LLM) + NeruvaAutoPilotHooks (after_task callback that auto-extracts facts from task output to KG; reflect_on_crew_finish for cross-task self-curation). Plus NeruvaShortTermMemory / NeruvaLongTermMemory / NeruvaEntityMemory / NeruvaStorage as CrewAI memory backends. Substrate stays $0/call (pattern-C).
neruva-langgraph
Drop-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.
neruva-langchain
Drop-in LangChain integration for Neruva agent memory substrate. v0.2.0 adds AUTO-PILOT: NeruvaAutoPilot (classify intent + reflect + extract via your LangChain LLM) and NeruvaAutoPilotCallback (BaseCallbackHandler). Plus NeruvaChatMessageHistory + NeruvaContextRetriever for memory + KG recall, NeruvaCodeGraph (5 code nav methods), NeruvaCognitive (13 cognitive primitives). Pattern-C: substrate stays $0/call.
