MCP servers for context-management

A Codex plugin and local MCP runtime for context-bounded image generation and inspection.

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

Codex plugin: choose which past images go to the model with your next message. Unchecked images become placeholders, the task goes on, and requests stay small.

The memory layer that gets better as you use it. What broke, why, what depended on what, even the "push this to Wednesday" kind of thing that never makes it into any doc. No one has to write it down.

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

One MCP server that fronts many MCP servers + Skills behind a small tool set and routes to the best one, keeping an agent's context tiny. Migrate your Claude Code MCPs/skills behind it.

Universal Context, Rules & Handoff Bridge for AI Coding Tools (Cursor, Copilot, Cline, Claude Code, Antigravity, MCP)

Universal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.

MCP-compatible context and memory system: paged code navigation for AI assistants, plus a recorded, verified theory of what is known about the code.

An MCP server for discovering, ranking, and retrieving agent skills while minimizing context usage.

Shared, persistent memory for your AI coding assistants (Claude Code, Copilot, Cursor, Gemini CLI, Codex…): a local MCP server and CLI that hand work over between tools automatically.

Trilith v0.1 beta — context engineering for agents (budgeted memory, 3 tiers, audit trail). Core is Python; use via REST or adapters (LangGraph / OpenAI Agents / Claude / TS). Needs trilith serve loca

A local-first coordination hall for long-running AI collaboration.