TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

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.

Turn meetings, dictation, and audio files into local Markdown memory for Claude, Codex, and any agent.

A community-driven specification for creating, validating, and versioning structured context for AI systems

Local-first CLI to read, compare, and hand off sessions across Claude Code, Codex, Gemini, and Cursor agents. Checkpoints, cross-agent messaging, zero npm deps.

CTX (Context Transfer Format) — universal interchange format for LLM web content consumption

Local-first ambient context streams for Hermes and personal agents

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?

Shared context substrate for AI agents. Retrieval that learns what's useful. Runs local or cloud.

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.

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.

Local-first context manager for lossless agent transcripts with cited chunks