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.

Git-native memory for coding agents. Repo memory before the diff.

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.

Ready-to-read fresh context for personal agents

Multi-vendor AI coding knowledge base. Auto-synced docs for Claude Code, Cursor, Codex, OpenAI, Gemini. Long-term context for AI agents — clone, open, ask.

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

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.

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

An open-source framework for engineering your professional discoverability across platform algorithms, search engines, and AI agents. Covers CV/ATS, LinkedIn, GitHub, personal websites, X, and Agent Context Optimization (ACO).

Which HTML embedding techniques survive AI agent pipelines?

One-line prediction-market world context for AI agents, cached and ready for system-prompt injection.

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

CrewAI adapter for SimpleFunctions prediction-market context: world state, uncertainty, edges, and market reads.

LangChain adapter for SimpleFunctions prediction-market context: world state, uncertainty, edges, and market reads.

Detect market regime states (crisis, risk-off, risk-on, complacent) from prediction market signals. Real-time classification for AI agents and trading bots.

GitHub Action: inject real-time prediction market world state into your CI/CD workflows