Persistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.
Personal unified memory system for AI coding agents, providing persistent memory with hybrid RAG retrieval via MCP integration, allowing agents to store, search, and manage memories locally.
Shared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.
Persistent, cross-tool memory for AI coding assistants, enabling context retention across sessions, tools, and devices with a three-tier memory model and hybrid search.
Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
Local-first hierarchical memory for AI coding agents, providing automatic session capture, belief consolidation, and relevant memory injection via an MCP server.