deep, reliable and confidential coding-context

MCP server for persistent context management in AI coding assistants

A memory layer for AI Agents

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

The agentic workspace where people and agents work together in the loop.

Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

Wishes in, PRs out. CLI agent that interviews you, plans the work, dispatches parallel agents in isolated worktrees, and reviews code before you see it.

AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate solutions, and synthesize the best approach for your code.