Self-host signetai
v0.145.10Local-first memory layer for AI agents
- Stars
- 314
- Port
- 3850 (daemon HTTP API)
What is signetai?
Signet AI provides a local-first memory and secrets layer for AI agents. It runs as a daemon on your machine or server, capturing session transcripts from connected harnesses like Claude Code, Codex, OpenCode, OpenClaw, Hermes Agent, Gemini CLI, and Pi. It imports documents from sources such as Obsidian, Notion, GitHub, and Discord, and continuously builds a structured knowledge graph through a background process called Dreaming. Every memory cites its source evidence, and secrets are encrypted with the master key kept in your OS keyring. The dashboard offers a visual interface for browsing memories, connecting sources, and chatting with your memory. Installation options include a native binary via curl, npm and Bun packages, a Windows PowerShell installer, and a Docker Compose stack with Caddy reverse proxy for team deployments. The project is Apache-2.0 licensed with all releases currently marked as pre-release.
Should you self-host signetai?
signetai scores 49/100 on selfhost.directory (how scoring works) and ranks #47 of 120 in AI Assistant. It has 314 GitHub stars.
It shipped 30 stable releases in the past year. The latest, v0.238.0, came out on 26 October 2026.
Setup is moderate: expect some configuration beyond a single command. It is Other-licensed and written mostly in Typescript.
Its closest alternative on selfhost.directory is hermes-agent (89/100, 257 885 stars). It scores higher overall, so compare the two before you pick. See signetai vs hermes-agent side by side.
Features
- Agent isolation
- Dashboard UI
- Data portability
- Desktop App
- Dreaming (knowledge graph construction)
- Encrypted secrets storage
- Hostile content filtering
- MCP Support
- Multi-harness support
- Provenance and citations
- REST API
- Shared agent memory
- Source integrations
- Team mode with API keys
- Telemetry controls
signetai README
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