Stop re-explaining your project to your AI every session. memtomem turns your notes, docs, and code into a searchable memory that any MCP-compatible agent can use — across sessions, across agents, all on your machine.
All context is lost when a session ends. Architecture decisions, coding patterns, and debugging history must be re-explained every time.
Knowledge from Claude Code can't be carried over to another client. Each agent is trapped in its own isolated memory silo.
Current memory systems only work when agents explicitly search, are locked to specific runtimes, and offer only a single LTM layer.
Your agent doesn't have to ask. STM watches proxied MCP calls, and v0.1.24 adds mms hook for Claude Code native-tool surfacing with a warm daemon.
STM sits invisibly between your agent and its tools. Existing MCP servers keep working unchanged, while LTM can be reached over stdio, SSE, or streamable HTTP.
Define an agent, skill, or command once. Context Gateway syncs it across Claude Code, Codex CLI, Antigravity CLI, and others in each runtime's native format.
Big tool responses get trimmed to fit your context window. Ten strategies now use query-aware ranking, safer JSON tiers, and zero-loss progressive mode for huge payloads.
Each agent gets its own private memory, plus a shared one. Knowledge flows between agents — or from you to every agent at once.
SQLite + ONNX under the hood. No GPU, no external API, no cloud dependency — your memory stays on your machine.
From install to first memory in under 5 minutes. uv tool install → interactive mm init → ask your agent.
GuideHow BM25 + vector + RRF fusion search works and how to tune it.
LTM10 strategies, auto-selection logic, and query-aware budget allocation.
STM5-level gating, feedback loop, min_score auto-tuning deep dive.
STM5-step session workflow, namespace inheritance, cross-agent sharing.
LTMCross-runtime sync, format conversion, framework adapters.
LTMNo GPU. No external services. One uv install is all you need.