context-engineering
Make analytics context usable by agents
ktx is an open-source context layer for data agents. It turns warehouse metadata, BI tool definitions, query history, docs, and approved metric definitions into reviewable files agents can search and execute.
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, and any AI agent to query data accurately through MCP with skills, memory and a semantic layer
Save 98% of your AI coding agent's context window.
Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 15 platforms
A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture
A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code, OpenCode, Gemini CLI, Codex, Copilot, and Antigravity.
Solves context rot — the quality degradation that happens as Claude fills its context window.
The Context File System for AI Agents. A Context DataBase for AI Agents.
Memory, Resource, Skill. Everything is a File.
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Annotate plans. Not in the terminal. Visual Plan Review for Claude Code
Interactive Plan Review for coding agents. Mark up and refine plans visually, share for team collaboration. Works with Claude Code, OpenCode, and Pi. Annotate and review coding agent plans visually, share with your team, send feedback to agents with one click. Interactive Plan Review for AI Coding Agents. Mark up and refine your plans using a visual UI, share for team collaboration, and seamlessly integrate with Claude Code, OpenCode, Pi, and Codex.
Memory Management Kit for Agents - Remember Me, Refine Me.
🧠 ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.
It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).
ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.
The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration
Instant codebase comprehension for AI coding agents — semantic graph, algorithm anti-pattern detection, architecture health. 56 commands, 22 languages, 100% local.
Roam pre-indexes your codebase into a semantic graph -- symbols, dependencies, call graphs, architecture, and git history -- stored in a local SQLite DB. Agents query it via CLI instead of repeatedly grepping files and guessing structure.
Context window optimization for LLMs. Reliable LLM outputs start with clean context.
A reliability layer for LLM context. Deterministic deduplication that removes redundancy before it reaches your model. Less redundant data. Lower costs. Faster responses. More efficient & deterministic results.
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Wake records your terminal sessions so Claude Code can see what you've been doing.
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The Context Optimization Layer for LLM Applications.
Cut your LLM costs by 50-90% without losing accuracy.
shared memory for agents. Get smarter alongside your AI.
Your intelligence shouldn't reset every conversation. Ensue is a persistent knowledge tree that grows with you - what you learn today enriches tomorrow's reasoning.
Session continuity, token-efficient MCP execution, and agentic workflows for Claude Code.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Long-term Memory for AI Agents.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Your AI's Perfect Memory Archive.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
Grab any element on in your app and give it to Cursor, Claude Code, etc.
By default coding agents cannot access elements on your page. React Grab fixes this - just point and click to provide context!
A memory upgrade for your coding agent.
Beads is a lightweight memory system for coding agents, using a graph-based issue tracker. Four kinds of dependencies work to chain your issues together like beads, making them easy for agents to follow for long distances, and reliably perform complex task streams in the right order.
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Give Claude perfect recall - Redis-powered persistent memory for LLM. Give Claude perfect recall with persistent memory that survives context limits and session restarts.
Recall is a brain extension for Claude that stores memories in Redis.
Your AI assistant can now remember important context, decisions, and patterns across all conversations—no more repeating yourself or losing critical information when the context window fills up.
Up-to-date documentation for LLMs and AI code editors.
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The fast context maker. Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python & Qt run.
Take control of your AI's context to get radically better bug-fixing and planning assistance. When you don't tell the AIs about MCP servers and tools, you'll be suprised at what they are capable of.