Skip to main content
Glama

Rynmesh

CI License: MIT GitHub release

Rynmesh is an open-source, local-first personal AI assistant and verifiable content mesh. A Ryn node can discover and rank public content, learn from local feedback, publish signed content, discover peers, and exchange content with provenance and safety receipts.

The node, web interface, recommendation agent, peer protocol, registry, and command-line tools are all included under the MIT license. No account, API key, proprietary service, or preference setup is required for the default experience.

What works today

  • Proactive recommendations from a built-in public catalog, including video, articles, research, podcasts, audiobooks, and visual content

  • Local recommendation profiles that learn from More, Less, Hide, Open, topics, platforms, and written direction

  • A self-hosted web interface served by the node daemon

  • Signed content manifests, provenance chains, and safety receipts

  • Direct peer HTTP transport with registry-assisted discovery and NAT-safe relay jobs

  • Content publishing for video, images, audio, documents, slides, datasets, and other files

  • MCP tools for Codex-, Claude-, and other MCP-compatible AI operators

  • Non-transferable Rynmesh Credits for distribution reputation

Rynmesh is alpha software. APIs and storage formats may change before 1.0.

Related MCP server: engram

Install from GitHub

macOS desktop

Download the Apple Silicon (aarch64) or Intel (x86_64) DMG from the latest release, open it, and drag Ryn to Applications. The app contains its own node daemon and web interface; Python, Node.js, Ollama, an account, and source configuration are not required. Because community builds are not Apple notarized yet, the first launch may require Control-clicking Ryn and choosing Open.

Python package

Python 3.10 or newer is required.

python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
curl -fsSL https://github.com/yeogirlyun/rynmesh/releases/latest/download/install.sh | sh

Or install the current wheel into an existing Python environment:

python -m pip install https://github.com/yeogirlyun/rynmesh/releases/download/v0.6.0/rynmesh-0.6.0-py3-none-any.whl
rynmesh-peer

Open http://127.0.0.1:8791. Ryn starts its recommendation agent automatically. Adding a YouTube channel, subreddit, or RSS feed is optional.

Versioned wheels, checksums, installer scripts, and source archives are available from GitHub Releases. Release wheels include the built web interface; editable source installs use the Vite development server described below.

Develop from source

git clone https://github.com/yeogirlyun/rynmesh.git
cd rynmesh
./scripts/dev_setup.sh

For hot-reloading development, run the node and web app in separate terminals:

./.venv/bin/rynmesh-peer
cd webapp
npm run dev

The local API runs on port 8791; Vite serves the development UI on port 5173.

Run a registry

Peer discovery can use a registry, but a registry is not required for the local personal-assistant experience.

export RYNMESH_REGISTRY_HOST="0.0.0.0"
export RYNMESH_REGISTRY_PORT="8790"
export RYNMESH_REGISTRY_DIR="$HOME/.rynmesh/registry"
rynmesh-registry

The registry stores signed peer records, work-order mailbox messages, and optional relay blobs. Nodes verify signatures and content hashes locally.

MCP server

rynmesh-mcp

See Architecture, Product milestones, and Contributing for deeper project context.

Verify a checkout

python -m pytest -q
python -m ruff check rynmesh tests qa
cd webapp && npm ci && npm run build

CI also verifies that a packaged node serves its own UI without a development server.

Security and privacy

Node identity, preferences, feedback, and fetched content are stored locally under RYNMESH_HOME (by default beneath ~/.rynmesh). Network access is used for sources or peers the node contacts; model integrations are optional.

Please report vulnerabilities privately as described in SECURITY.md. Do not include secrets or personal data in public issues.

Community

  • Read CONTRIBUTING.md before submitting a pull request.

  • Follow the Code of Conduct.

  • Use GitHub Issues for reproducible bugs and focused feature requests.

  • Use GitHub Discussions for questions and broader design ideas.

License

Rynmesh is licensed under the MIT License.

A
license - permissive license
-
quality - not tested
A
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    -
    quality
    D
    maintenance
    Personal AI infrastructure gateway orchestrating memory, workflow automation, knowledge retrieval, and skill discovery as a unified MCP stack.
  • A
    license
    -
    quality
    C
    maintenance
    Provides persistent, local-first AI memory across sessions via MCP tools for storing, searching, and retrieving context from past interactions.
    1
    MIT
  • F
    license
    -
    quality
    C
    maintenance
    Enables AI assistants to network on behalf of users, handling profile management, intent-based matching, and secure messaging through the Model Context Protocol.
    8
  • A
    license
    -
    quality
    B
    maintenance
    Enables AI assistants to query local conversation transcripts and relationship data via a local MCP server, allowing retrieval of past conversations and facts about people.
    1
    AGPL 3.0

View all related MCP servers

Related MCP Connectors

  • User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

  • AI Agent social network with 23 MCP tools for social, tasks, skills, and XC token economy.

  • Agent-to-agent referral network. Discover, recommend, and refer users between AI agents via MCP.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yeogirlyun/rynmesh'

If you have feedback or need assistance with the MCP directory API, please join our Discord server