The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

Self-hosted memory service for AI agents that work in teams, written in Rust: layered L0→L3 memory, async LLM distillation, hybrid BM25 + vector recall, and department/team/member isolation. SQLite or Postgres, any OpenAI-compatible LLM.

Open-source desktop SQL workspace with 3 built-in database drivers and 26 shipped driver plugins, including SQL Server, DuckDB, ClickHouse and Redis. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

Give your agent its own cloud: Postgres, Redis, a sandbox or any Docker image, in one MCP call.

Always-current official Claude docs inside Claude Code. A 3 MB metadata plugin: live on-demand fetching from Anthropic's servers, zero content redistributed. Auto-discovery skill, instant search, interactive HTML courses, and doc changelog reports.

Agent-native trading terminal built on DeepSeek Harness. Crypto, US, CN and HK in one three-column GUI, 19+ hot-swappable connectors, dry-run by default with human approval on every live order. BYOK, no data redistribution.

Enables agents to connect to and work with PostgreSQL, MySQL, Redis, SQLite, and MongoDB through a uniform tool surface for opening connections, running queries and commands, inspecting schemas, and managing documents.

Give your agent its own cloud: run Postgres, Redis or any Docker image on a microVM in one call.