Sage

Name: Sage
Author: l33tdawg

by l33tdawgcommunityv4.0.0

217

SAGE provides a persistent, consensus-validated memory infrastructure for AI agents, enabling them to maintain institutional memory across conversations with confidence scores and natural decay over time.

From the registry: Persistent, consensus-validated institutional memory for AI agents. Runs locally.

GitHub Repository

Install & configure

Prerequisites

required
Go
Go required to build from source. Or download prebuilt binary.
```
$ git clone https://github.com/l33tdawg/sage.git && cd sage && go build -o sage-gui ./cmd/sage-gui/
```
https://github.com/l33tdawg/sage/releases/latest

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `sage` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Go** — Go required to build from source. Or download prebuilt binary. Run: `git clone https://github.com/l33tdawg/sage.git && cd sage && go build -o sage-gui ./cmd/sage-gui/` (https://github.com/l33tdawg/sage/releases/latest)

Canonical MCP server config (stdio transport):
- command: `sage-gui`
- args: ["mcp","serve"]

Note: BFT consensus-validated persistent memory for AI agents. Run `./sage-gui setup` to get MCP config. Also available via Docker: ghcr.io/l33tdawg/sage. Prebuilt binaries for macOS/Windows/Linux on GitHub releases.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: BFT consensus-validated persistent memory for AI agents. Run `./sage-gui setup` to get MCP config. Also available via Docker: ghcr.io/l33tdawg/sage. Prebuilt binaries for macOS/Windows/Linux on GitHub releases.