A local-first context runtime for AI coding agents that significantly reduces token consumption from file reads and shell outputs via multi-strategy compression and property graph techniques, compatible with 28+ AI coding tools including Cursor, Claude Code, and Copilot.
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%.
A multi-threaded application runtime engine for the AI era, featuring a persistent scene graph and multi-Agent collaboration, enabling AI Agents to introspect and mutate live application structures in real time.
A Java AI Agentic development suite for JDK 8+, providing unified LLM invocation, RAG, full-chain MCP, and Agent development capabilities.
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.
Open-Source AgentOS for AI Agents — a framework and OS-level platform for building, orchestrating, and evolving multi-agent collaborative systems, formerly known as Microsoft AutoGen.
The agent engineering platform for building context-aware reasoning applications.
The Zero-Server Code Intelligence Engine that indexes any codebase into a knowledge graph, providing AI Agents with deep architectural insights and call-chain tracing via MCP protocol.
Cross-Agent Memory Bridge providing persistent memory layer for AI coding agents across sessions and IDEs, supporting 7 major agents including Cursor, Windsurf, and Claude Code.
Java AI application development framework supporting LLM-tool/skill, RAG, MCP, Agent-ReAct, Team-Agent, compatible with Java 8-25, embeddable in SpringBoot, jFinal, Vert.x, Quarkus.
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