context management

Open-source context layer for data and analytics agents that adds warehouse context, semantic search, and MCP/CLI access for tools like Claude Code and Codex.

CoreMem is a context management platform for AI agents and chat tools. It lets users store preferences and notes as reusable mems, then load them into tools through MCP, public profile URLs, scoped share links, and AI-readable docs.

Self-hostable MCP server that collects memories from coding agents and regenerates shared AGENTS.md-style context for the next session.

Rudi is a Python tool for LLM memory management that replaces a growing chat transcript with a causal dependency graph, aiming to keep token usage flat across long sessions. The README shows benchmarking results, fold behavior, and example usage with get_slice, store_decisions, and run_turn.

An experimental RAG lab for constrained environments, with configurable document classification, chunking, retrieval, reranking, and chat context assembly. It includes Open WebUI integration and emphasizes debugging retrieval and context failures.

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

Open-source Claude Code plugin and skill for saving a compact handoff before hitting rate, usage, or context limits, then resuming in a new session without replaying the full transcript.

Open-source AI agent harness tool that lets an agent wipe its session context and replay the first message, designed for loop-based agent workflows.