Memory and context manager just works.

MCP server for persistent context management in AI coding assistants

Wavelet-based multi-resolution context management for LLMs via MCP

Claude Code's compaction engine, as a drop-in DeepAgents middleware

Self-hosted GitHub Copilot bridge for Claude Code and Codex CLI with OpenAI Responses, Anthropic Messages, streaming resilience, and context management.

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.

Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management

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.

Working memory for Claude Code - persistent context and multi-instance coordination

Save tokens. Maximize context, Safely

CTX - Context Runtime Engine for Coding Agents

Re-anchor long conversations that drift through repeated local corrections.

Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables

Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper

Context cleaning for Claude Code — prune bloated sessions, protect Agent Teams from context loss, auto-guard with tiered pruning

Local, read-only audit for stale AGENTS.md, CLAUDE.md, and generic SKILL.md instructions.

A self-evolving Claude Code plugin. Context routing, memory bootup, smart delegation, self-correction — out of the box.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

The agentic workspace where people and agents work together in the loop.

One folder. Every session knows where you left off. — An open-source methodology for AI-assisted projects.

Persistent memory for Claude Code — 3-5x longer sessions, 60-80% fewer wasted tokens. Branch-aware, self-healing, token-efficient.

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.