This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
The universal, local-first memory hub and Model Context Protocol (MCP) daemon for AI coding agents.
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When you switch between AI coding assistants, you shouldn't have to re-explain your architecture, re-teach your rules, or lose track of past decisions.
Zero Friction (0f) provides a single, local-first daemon and Model Context Protocol (MCP) server so all your AI tools share the same brain:
┌──────────────────────────────────────────────┐
│ Your Developer Machine │
└──────────────────────┬───────────────────────┘
│
┌───────────────────┬─────────────┴───────┬───────────────────┐
▼ ▼ ▼ ▼
[ Claude Code ] [ Cursor IDE ] [ Antigravity / AGY ] [ Windsurf ]
│ │ │ │
└───────────────────┴─────────────┬───────┴───────────────────┘
│ Standard MCP (stdio)
▼
┌──────────────────────────────────────────────┐
│ Zero Friction (0f) │
├──────────────────────────────┬───────────────┤
│ 🧠 LanceDB Hybrid Memory │ 🕸️ SQLite │
│ (Dense Vectors + BM25) │ Knowledge │
│ │ Graph │
└──────────────────────────────┴───────────────┘Related MCP server: Agent Memory Bridge
┌─────────────────────────────────────────────────────────────┐
│ Zero Friction Storage Engine │
├─────────────────┬─────────────────────────┬─────────────────┤
│ Tier 1: Local │ Tier 2: Teams (Git) │ Tier 3: AWS │
│ (Individual) │ (Engineering Teams) │ (Enterprise) │
├─────────────────┼─────────────────────────┼─────────────────┤
│ • Zero setup │ • Git repo sync │ • AWS S3 Arrow │
│ • Local LanceDB │ • Automatic Markdown ADR│ • DynamoDB Graph│
│ • ~/.0f/ storage│ • Audit trail via PRs │ • KMS Encryption│
└─────────────────┴─────────────────────────┴─────────────────┘Tier 1 (Individual / Local-First): Stored locally in ~/.0f/ with LanceDB & SQLite. 100% private, zero setup.
Tier 2 (Teams / Git-Backed): Sincronize memories across your team using any private Git repository (0f sync --tier git --remote <git_url>). Generates human-readable Markdown ADRs automatically.
Tier 3 (Enterprise / Managed Cloud): High-scale AWS cloud storage plugin (0f cloud-init aws) using S3 for vector partitions with KMS encryption and DynamoDB/Aurora for graph topologies.
0f Command Line Tool# 1. Store an architectural decision (ADR) or memory
0f remember "ADR-001: Adopt gRPC" "We choose gRPC for low-latency microservice RPC." --tag grpc --tag architecture
# 2. Recall context semantically across your memories
0f recall "how do we communicate between microservices?"
# 3. Inspect storage tiers (Tier 1 Local, Tier 2 Git, Tier 3 AWS)
0f tiers
# 4. Sync memories with your team's Git repo
0f sync --tier git --remote git@github.com:myorg/team-memory.git
# 5. Export AWS Terraform self-provisioning module
0f cloud-init aws --dest ./terraform-0f
# 6. Inspect knowledge graph topology
0f graph
# 7. Check local hub health & storage
0f status
# 8. Start Model Context Protocol (MCP) server
0f mcpAdd 0f to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"0f": {
"command": "0f",
"args": ["mcp"]
}
}
}Now any AI agent can call remember_context, recall_context, and list_adrs automatically!
Distributed under the Apache 2.0 License. See LICENSE for details.
This server cannot be deployed
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.
Long-term memory for AI coding agents: durable project facts, recalled by every MCP client.
Persistent memory for AI agents to retain, retrieve, and recall conversation context through MCP.
