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.

Autonomous Agents (LLMs) research papers. Updated Daily.

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

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

Full AI context layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Record meetings and dictation on your Mac. Everything becomes plain Markdown files that Claude, Codex, or any AI can search. Free, open source, 100% local transcription.

Portable AI agent skills and framework for evidence-based career optimization across GitHub, LinkedIn, CV/ATS, portfolios, and X, with one reusable source of truth.

Build system for AI coding-agent context. Generate deterministic, explainable context artifacts for Claude, Codex, Cursor, and MCP.

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.

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.

Ready-to-read fresh context for personal agents

MCP server + CLI that turns the task manager you already use into persistent agent memory for Claude Code and any MCP client. Hybrid retrieval (RRF), no vector database. Adapters: TickTick, Obsidian, Notion, GitHub, Airtable, Google, OKF, Taskmaster, Beads.

Claude skills for evaluating folder architecture and running staged AI workflows, built on the ICM five-layer context hierarchy.

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.

A multi-tenant knowledge-base service for agents

Deterministic, lossless structured-context selector for Codex, Pi, Hermes Agent, OpenClaw, MCP, and generic agent runtimes.

Minimal project memory and validation harness for AI coding agents.

Local-first context bridge and CC Switch installable MCP handoff integration for coding agents.