#context (14 Repositories)
Ranked open-source repositories tagged with #context, scored by pull request acceptance likelihood and maintainer engagement velocity.
27.9%
24.6h
14 repositories tagged #context
trustgraph-ai/trustgraph
The context interoperability layer powered by hypergraphs. Build a unified semantic context layer where agentic outcomes are deterministic and agent behavior is not just traceable, but cryptographically verifiable.
JordanCoin/codemap
a project brain for your AI. Give LLMs instant architectural context without burning tokens
ltex-plus/ltex-ls-plus
LTeX+ Language Server: LSP language server for LanguageTool :mag::heavy_check_mark: with support for LaTeX :mortar_board:, Markdown :pencil:, and others
containers/kubernetes-mcp-server
Model Context Protocol (MCP) server for Kubernetes and OpenShift
luongnv89/context-stats
Understand how you use Claude Code, and spend less doing it.
GeminiLight/MindOS
MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically.
Papooch/nestjs-cls
A continuation-local storage (async context) module compatible with NestJS's dependency injection.
gorilla/context
Package gorilla/context is a golang registry for global request variables.
veqryn/slog-context
Use golang structured logging (slog) with context. Add and retrieve logger to and from context. Add attributes to context. Automatically read any custom context values, such as OpenTelemetry TraceID.
andersevenrud/nvim_context_vt
Virtual text context for neovim treesitter
warp-context/rightStage
Sync AI context across every terminal window. 3 seconds to know what to work on next.
data-drift/data-drift
Metrics Observability & Troubleshooting
context-hub/generator
CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.
memvid/memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.