#context

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.

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Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI

Production plumbing for LLM apps in TypeScript: context, cost, testing & governance primitives. Python-interoperable.

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.

detects nested contexts in loops or function literals

Contexer keeps the important engineering decisions behind your software current and available to every coding agent.

Store, serialize, parse, and execute sequences of canvas context instructions.

Role and Attribute based Access Control for Node.js

Practical productivity tools for Claude Code, Codex-CLI, and similar CLI coding agents.

Agent coordination MCP server — shared blackboard, decision tracking, and context assembly

Extension for python-capellambse that adds automatically generated context diagrams for arbitrary model elements.

A local context layer for AI tools: mirror your repositories, index them into a knowledge graph, and serve it over MCP so agents answer from real source instead of guessing.

Find, resume, and hand off Claude Code and Codex sessions across machines — encrypted, your own bucket.

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

Evidence-based audit methodology and read-only Laravel context tools for existing AI coding agents.

A lightweight knowledge system for small‑and‑medium teams tailored to AI Agents. It compiles Feishu Docs, local Markdown, code structures and curated business data into structured, traceable knowledge, guiding Agents to retrieve high‑quality content via pattern‑driven reasoning and exploration.

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.

Magg: The MCP Aggregator

PSR-3 context decorator

Compatibility adapter between tokio and futures

Turns a plain notes repo into a bridge: one repo that holds the plan and drives agentic work across your other repos.

fork of TomFrost/jexl for jbrowse use

Behat ORM context Bundle

AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.

Dream-briefing for AI coding agents: a cognitive checkpoint at session end, a 'while you were away' briefing at session start.