Gyst

Give your AI agent your team's memory. In 90 seconds.

npm install -g gyst-mcp && gyst init

The problem

AI coding agents are fast — but stateless. Every session your agent starts fresh: no memory of why the auth service keeps timing out, no knowledge of the deploy-on-Fridays rule, no record of decisions your team made last month. Your agent figures things out and then forgets them. The team never gets smarter.

The solution

• Self-populating context layer — mined automatically from your git history, code comments, markdown docs, and session transcripts
• Every session starts ready — your team's rules, conventions, and past decisions are injected before the first prompt
• Works with every major agent — Claude Code, Cursor, Codex CLI, Windsurf, Gemini CLI

90-second quickstart

npm install -g gyst-mcp && gyst init

Example output:

┌─────────────────────────────────────────────────────┐
│  gyst init                                          │
├─────────────────────────────────────────────────────┤
│  ✓ Database initialized      .gyst/wiki.db          │
│  ✓ MCP server registered     Claude Code            │
│  ✓ MCP server registered     Cursor                 │
│  ✓ Hooks installed           post-commit            │
│  ✓ Scanning codebase ...     42 files               │
│  ✓ Loaded conventions        8 entries              │
│  ✓ Loaded decisions          3 entries              │
│  ✓ Ghost knowledge generated 5 entries              │
├─────────────────────────────────────────────────────┤
│  Restart your AI tool. Context will inject on the   │
│  next session start.                                │
└─────────────────────────────────────────────────────┘

Restart your AI tool. That's it.

What your agent gets

Supported agents

How it works

Mining: gyst init scans your codebase and git history to build a context layer — zero config, zero manual writing. It extracts conventions from your source files, decisions from commit messages and ADRs, error patterns from TODO/FIXME comments, and structural knowledge from the files your team touches most. The post-commit hook keeps it current automatically after every commit.

Injection: At every session start, Gyst injects your team's ghost knowledge and top conventions into the agent's context window. Subagents get the same injection. When a session ends, anything the agent learned gets distilled back into the context layer, so the next session starts even stronger.

Learn more

• Technical reference — MCP tool API, CLI flags, hook system, search pipeline, configuration
• 3-minute demo script — step-by-step pitch walkthrough

Dashboard

gyst dashboard   # opens at localhost:3579

Browse all context entries, inspect the knowledge graph, review low-confidence entries, and track context economics (leverage ratio, zero-result rate, intent mix).

Team mode

Git-sync (zero infrastructure)

The context layer lives in your repo. git pull syncs it automatically via the post-merge hook.

Shared HTTP server

# Admin — set up once
gyst create team "Acme Engineering"
GYST_API_KEY=gyst_admin_... gyst team invite
gyst serve --http --port 3456

# Each developer — one command
gyst join gyst_invite_abc123... "Alice" --server http://your-host:3456

Every developer's AI tools automatically point at the shared context layer. Knowledge grows as the team grows.

License

MIT — see LICENSE.