Manas

Manas

Enables interaction with a local knowledge repository via MCP, providing tools for capturing, indexing, and searching Markdown notes with Git version control and optional semantic search.

Category
访问服务器

README

Manas

Manas is a local-first, Git-backed knowledge system for syncing, indexing, and searching AI conversations and other personal knowledge sources. Your canonical knowledge lives in a repository you own; rebuildable indexes, embeddings, credentials, and runtime state remain local.

Quick start

bun install
bun run src/cli.ts brain init --repo <knowledge-repository>
bun run src/cli.ts capture "A thought worth keeping" --repo <knowledge-repository>
bun run src/cli.ts brain index --repo <knowledge-repository> --store <local-pglite-directory>
bun run src/cli.ts brain search --repo <knowledge-repository> --store <local-pglite-directory> --query "what did we decide?"

The brain commands create and maintain Markdown pages in a separate Git repository. Every mutation is revision- and commit-aware, deletion is recoverable, and indexing reads an immutable Git snapshot. Manas also imports local exports from supported AI tools and can synchronize local Markdown and text folders.

Local semantic search with Ollama

Run an OpenAI-compatible embedding endpoint locally, then index embeddings into the local PGLite store:

ollama pull nomic-embed-text
bun run src/cli.ts brain embed --store <local-pglite-directory> --embedding-endpoint http://127.0.0.1:11434/v1/embeddings --embedding-model nomic-embed-text --embedding-dimensions 768

Use the same endpoint, model, and dimensions for semantic retrieval. Vectors stay in local PGLite; Markdown in the knowledge repository is unchanged.

Commands

manas sync [--provider <name>] [--dry-run]
manas import chatgpt <zip-or-json>
manas import claude <zip-or-json>
manas brain init --repo <knowledge-repository>
manas brain index --repo <knowledge-repository> --store <local-pglite-directory>
manas brain search --repo <knowledge-repository> --store <local-pglite-directory> --query <query>
manas serve

Run commands during development with bun run src/cli.ts. The package also exposes a TypeScript API:

import { BrainRepository, openPgliteBrainStore, indexBrainRepository } from "manas";

Configuration and privacy

All product environment variables use the MANAS_ prefix. Set MANAS_STATE to choose local state storage and MANAS_BRAIN_REPOSITORY (or --repo) to choose the knowledge repository.

serve starts a local MCP server. For loopback HTTP MCP, set a non-secret local token with MANAS_MCP_TOKEN and use MANAS_MCP_SCOPES to restrict access. Do not put credentials or local state inside the repository.

Manas can optionally use ZeroEntropy for managed semantic retrieval. That sends bounded transcript chunks to the configured service. Local PGLite embeddings are the privacy-preserving path; health reports optional remote services as degraded when unavailable.

Development

bun run full-verification

The release gate validates capability parity, runbooks, a disposable pgvector/PostgreSQL contract, secret scanning, tests, typechecking, formatting, build output, and git diff --check.

License

MIT © 2026 Collin Johnson.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选