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.
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.
Cloud-native persistent autonomous AI agent runtime in Rust, featuring multi-channel access, 13-layer self-learning, self-distillation, self-growing code (Cambium), and Witness verification system.
A plugin-based rich-text editor framework for React, built on Slate.js, with integrated AI writing, MCP compatibility, and shadcn/ui components.
An open-source, OpenTelemetry-native observability platform integrating logs, metrics, traces, and alerting, with built-in LLM observability and AI Agent debugging, positioned as an alternative to commercial APM tools like Datadog.
A local-first personal AI agent framework from Stanford that enables offline agent orchestration, skill import, and trace-driven continuous learning through five composable primitives, supporting 10+ inference backends and four interaction modes.
The agent engineering platform for building context-aware reasoning applications.
A high-performance, end-to-end observability data pipeline built with Rust.
Local-first knowledge management combining Zettelkasten with knowledge graphs, enabling LLM cross-session persistent memory via Model Context Protocol.
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