SUMMARY AI summary by gpt-5-mini
Saga is a local-first persistent memory layer for AI coding agents (Claude Code, Cursor, Windsurf, any MCP client). It stores curated, self-contained Markdown "topic" notes (~500 words) tied to code investigations so agents can recall context across sessions without re-explaining a codebase. Who uses it: solo devs and small teams embedding agent memory into workflows and IDEs. Key features: - Topic-grained notes with typed relations (@supersedes, @refines, etc.) - Layered scopes: personal, project, dept, org (personal syncs across machines; project lives in repo) - MCP JSON-RPC tools: recall, topic_read/list/write, plus auto-injection hook for Claude Code - SQLite full-text index + BM25 ranking; notes stored as versioned Markdown in git - Single static binary, cross-platform, no telemetry, secret detection and sync controls, open Saga Topic Spec.
DETECTED Detected AI stack
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GitHub Topics
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Owner
Industrial Software · Edge-to-Cloud · Yard Automation & Industrial IoT · Tech Lead at Balanças Marques · Embedded C → iMX8 → SaaS · Open source: depguard
Dates
| Created on GitHub | 2026-05-04 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:22 |