Local-first LLM-driven memory system
Project description
Memoria
Local memory for long-running agents.
把零散上下文沉淀成可检索、可审计、可持续更新的工作记忆。
Memoria 是一个本地优先、由 LLM 驱动的工作记忆归档器。它把原始笔记、任务上下文、项目决策和 Agent 工作记录整理成 Memory Issue、Memory Chain、Proposal 和可审计的 Patch。
当前版本以 CLI 为主,数据默认保存在本机 SQLite 和 JSONL transcript 中;sleep 整理流程可以离线 mock,也可以调用 OpenAI Responses API。
安装
推荐使用 uv tool install。uv 会自动创建隔离环境,不绑定当前项目目录或 shell 里的虚拟环境:
uv tool install memoria-cli
memoria --help
也可以使用 pip;这种方式要求当前 Python 环境已经是 3.11 及以上:
python -m pip install memoria-cli
memoria --help
或者从 GitHub Releases 下载单文件二进制,不需要预装 Python。
快速开始
memoria ingest text "今天决定:Memoria MVP 先做本地 CLI,不做 Web UI。" \
--title "Memoria MVP direction" \
--tag memoria \
--hint "整理成项目决策"
memoria sleep --mock
memoria issue list --json
使用真实 LLM 整理:
export OPENAI_API_KEY="..."
memoria sleep --limit 20 --strictness balanced
文档
完整文档入口见 docs/README.md。
| 中文 | English |
|---|---|
| 安装 | Installation |
| 快速开始 | Quick Start |
| 配置 | Configuration |
| CLI 使用说明 | CLI Guide |
| 设计边界 | Design Notes |
| 开发者说明 | Development |
特性
- Local-first storage with SQLite, JSONL transcripts, zip backups, and local Git backups.
- Raw text, file, and stdin ingestion.
- LLM sleep consolidation with deterministic mock mode and OpenAI mode.
- Tool-assisted memory lookup during LLM consolidation.
- Transactional
MemoryPatchapplication with patch audit records. - Query commands for Memory Issue, Chain, Proposal, Patch, and Sleep jobs.
- Optional single-file binaries for Linux, macOS, and Windows.
状态
Memoria is early alpha software. The current scope is intentionally narrow: local CLI first, no Web UI, no API server, no MCP server, no cloud sync, and no destructive memory deletion.
Memoria 仍处于 early alpha 阶段。当前范围刻意保持克制:本地 CLI 优先,没有 Web UI、API server、MCP server、云同步,也没有破坏性删除记忆。
开发
python -m pip install -e ".[dev]"
pytest -q
uv build
See Development or 开发者说明 for the full workflow.
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