A community-driven specification for creating, validating, and versioning structured context for AI systems
Ready-to-read fresh context for personal agents
CTX (Context Transfer Format) — universal interchange format for LLM web content consumption
Universal context system for AI agents: discover, translate, and manage agent skills across formats. Includes MCP server, CLI, and Python library.
Deterministic, lossless structured-context selector for Codex, Pi, Hermes Agent, OpenClaw, MCP, and generic agent runtimes.
Local-first Obsidian vault structure that gives AI agents persistent project memory across sessions. Works with Claude Code, Cursor, Codex, ChatGPT.
Shared context substrate for AI agents. Retrieval that learns what's useful. Runs local or cloud.
Navigation contract for AI coding agents in large repos. Templates, validation scripts, and a Python CLI for authoring three-layer context packs. Companion to the agent-recall research.
Neural Ledger: a lightweight memory engine for agents and software that help systems remember useful things, recall what matters, and learn from feedback.
Review-gated context compiler — turn long-term content into multi-runtime agent context (CLAUDE.md, AGENTS.md, …) with PR/approve gates and before/after evaluation.
CrewAI adapter for SimpleFunctions prediction-market context: world state, uncertainty, edges, and market reads.
The missing knowledge layer for AI agents. Curated, agent-readable context for trading, healthcare, legal, and more.
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