project-memory

Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.

A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI.

Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.

Compiles AI agent traces and truns them into reusable context.

ctx: do you remember? — a single-binary, local-first, convergent memory system for humans and machines.

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.

Open-source agentic workspace for professional knowledge work with project memory, client memory, skills, and knowledge workflows.

Curion is a project-local memory layer for AI coding agents, published as an MCP server for Claude Code, Codex, OpenCode, and other MCP clients.

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.

Research Pilot helps AI agents understand, maintain, and advance research projects through papers, claims, evidence, experiments, and human-gated updates.

Universal long-term project memory for AI coding agents — Claude Code, Cursor, Windsurf, Cline + 4 more. TDD rules, code graph, spec-driven dev, cross-session recall.

Project memory for coding agents: team-shareable engineering experience assets with Milvus semantic retrieval.

Personal AI project manager with Claude Code integration and persistent context

DevMind MCP provides **persistent memory capabilities** for AI assistants through the Model Context Protocol (MCP). It enables AI to remember context across conversations, automatically track development activities, and retrieve relevant information intelligently.

A semantic intermediate representation for project design, documentation, and implementation. Compress information, not knowledge.

One project. Multiple AI agents. Zero repeated work.

Project memory layer for coding harnesses

Sync one reviewed context source into native AI-agent files, with privacy-safe evidence receipts that never confuse generation with runtime load.

Intent-driven development for AI agents and humans in the loop.

Proactive CLI coding agent with self-modifying skills, context management, and hybrid visual tooling.