Give Copilot a memory! MemoriPilot provides seamless, persistent context management that makes Copilot aware of your project decisions, progress, and architectural patterns - dramatically improving the relevance and quality of AI assistance.

AI Context Kit provides a structured, instruction-based framework for context-aware AI collaboration across LLM providers. It includes authoritative specs, canonical templates, and skills workflows for creating and validating user context and project AGENTS.md files.

Resume long-running work without rebuilding context.

Keep long-running repository work coherent and easy to resume.

Local-first AI memory system for coding agents: desktop app, CLI, and MCP server for durable project context, handoffs, recall, and task continuity.

Claude and Codex skill that scans a project and creates structured context before coding, reviewing, testing, or design work.

Pi extension that injects project context into first-turn prompts and compaction continuity messages.

Collaborative Context for Humans and AI

Per-project context file. One per project. Tells AI what each project is, where it's going, and what's happening right now.

Offline-first coding agent for local LLMs (LM Studio + MCP). Project-aware context, memory, and filesystem tooling for real coding workflows directly in your codebase.

Persistent project context for coding agents

Free, self-hosted MCP server providing shared project context across AI IDEs. One-command setup, zero configuration needed.

Rikka Prompt Builder simplifies LLM-project communication by generating structured prompts with project directories/files, easing context input and aiding LLM understanding.

Keep project context from drifting across coding-agent conversations.

A powerfull tool that combines the content of all text files from a directory, into one string, to pass as context to an LLM or any other use cases.

Prepare your codebase for AI assistants in one click. Smart project context packaging with filtering, compression, skeleton generation, Mermaid graphs, and Git integration.

ctxfeed is a local MCP project-context backend that shards a whole repo into GLM-5.2's 1M-token window with cache-aware ingest ordering, so coding agents like Claude Code and Cursor query 1000+ files in one call — below Opus per-token cost, past ChatGPT's 40-file cap. Rides the Kimi K3 / DeepSeek V4 long-context wave.

Stranmor-maintained ForgeCode fork with project-context model, TUI, semantic retrieval, and local regression fixes

Convert your codebase into a unified text document for LLMs.

A simple yet efficient plain-text methodology for persistent memory with coding agents.