An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.
An Application Framework for AI Engineering, providing unified abstractions for multiple AI models and vector stores, supporting RAG, Function Calling, and other enterprise AI application patterns.
A persistent, shared memory backend for AI Agent pipelines, providing REST API, MCP protocol, and knowledge graph with hybrid search, autonomous memory consolidation, and multi-agent collaboration — fully self-hosted with zero cloud cost.
An ultra-fast, multi-tenant graph database powered by a GraphBLAS sparse-matrix engine, running as a Redis Module, optimized for GraphRAG and AI Agent workloads.
An enterprise-grade multi-agent AI assistant platform for teams, building a "second brain" through multi-model failover, MCP protocol, and multi-channel support.
An Obsidian community plugin that integrates AI coding agents (Claude Code, Codex, Gemini CLI, etc.) into the vault via the Agent Client Protocol, featuring note mentions, multi-agent sessions, terminal integration, and chat export.
The agent engineering platform for building context-aware reasoning applications.
Official lifecycle plugin for OpenClaw/Moltbot/ClawDBot that provides cross-session long-term memory for Agents via MemOS Cloud.
Local-first knowledge management combining Zettelkasten with knowledge graphs, enabling LLM cross-session persistent memory via Model Context Protocol.
A cross-platform desktop AI productivity client that unifies access to multiple LLM providers, featuring side-by-side model comparison, knowledge base building, AI image generation, and MCP extension support.
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