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Graph-Native Infrastructure for Context and Accountable AI Systems
Open-source context retrieval layer for AI agents
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications
Open-source CMA-compatible agent runtime for any model, with MCP tools, sandboxed sessions, audit, replay, and a local console. Includes a native DeepSeek Harness bundle over stdio MCP.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Remote approvals, policy checks, and execution evidence for unattended AI agents.
The living armor an AI agent inhabits: eternal devouring, eternal evolution, eternal amplification.