OpenCode plugin for Magic Context — cache-aware infinite context, cross-session memory, and background history compression for AI coding agents
SDL-MCP gives coding agents the right code context, not your entire repo. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.
A community-driven specification for creating, validating, and versioning structured context for AI systems
Local-first Mac app for capturing spoken context for your agent: meetings, dictation, and clean local transcripts.
meta-bonsai generates a pruned ASCII tree that highlights only developer-marked files and directories, keeping ancestor paths to preserve structure.
Universal context system for AI agents: discover, translate, and manage agent skills across formats. Includes MCP server, CLI, and Python library.
Which HTML embedding techniques survive AI agent pipelines?
Reusable, language-agnostic AI agent context framework for DDD, workflows, patterns, review checklists, and pseudocode-first examples.
Neural Ledger: a lightweight memory engine for agents and software that help systems remember useful things, recall what matters, and learn from feedback.
The missing knowledge layer for AI agents. Curated, agent-readable context for trading, healthcare, legal, and more.
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