Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

The native visual interface for LLMs. Infinite canvas, multi-byte support, copy-pasteable architecture. Build diagrams AI can actually read.

Svelte Agentation : The visual feedback tool for agents.

Repo-local continuity runtime for AI coding agents. Helps them continue from the same inspectable work state instead of starting cold. Stop onboarding your coding agents like rookies every session.

Cursor uses AI to edit code — we use AI to edit AI's context. 🪆 Context map + compression + version control for LLM context windows.

Production-grade design context for AI coding workflows. Extract a real design system from any URL — colors, typography, spacing, breakpoints — as a portable DESIGN.md.

Persistent Project Context for AI — IANA-registered .faf format. The CLI behind the Foundational Context Layer (FCL).

A structured brain for AI assistants inside Anytype

Organize files into persistent, cross-directory virtual groups for better navigation and AI context in VS Code.

Persistent Project Context for Claude — IANA-registered .faf format · 32 tools + 1 prompt · MCP Registry #2759

Persistent Project Context for xAI Grok — IANA-registered .faf format · MCP server on a URL

Secure AI Memory with Dynamic Project Detection, Automatic Session Briefing, Personal+Team Session Summary Prompts, Triple Search, Knowledge Graphs, GitHub Integration (Issues, PRs, Actions, Kanban, Milestones), Team Collaboration, Hush, Adaptive Analytics, Markdown I/O, Audit+Token Logging, OAuth 2.1 & HTTP/SSE/stdio. 70+ Tools in 1 Code Mode.

FAF specification — IANA-registered AI context format (application/vnd.faf+yaml)

Desktop client for productivity app DoneThat. DoneThat automatically tracks all work and uses this context to boost your productivity: Automated timesheets, long-term memory for AIs, proactive coaching, and social sharing for accountability and remote trust. DoneThat is built privacy-first, cross-platform, and takes five minutes to set up.

Zero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.

Agent-agnostic context, tracking, and cost analytics for AI-assisted development. Curated docs · Session tracking · Cost analytics · Team knowledge — all git-native

Search code and copy matches to clipboard for use with AI tools.

Repository-native persistent memory hub for Spec Kit, powered by an SQLite caching optimizer & native Model Context Protocol (MCP) server.

Your agents should already know you.

An operating system for your Claude context — version-controlled files, a self-curating memory, and a /start→/end session loop. Works in Claude Code and claude.ai.