# gh9ko8y/graphmemory > A bitemporal memory service for AI agents: facts with two time axes, a six-variable importance/decay model, TTL expiry, deduplication, and competitive retrieval on top of Graphiti, Neo4j, PostgreSQL and Redis. - Magnitude: 3.3 out of 10 — Early signal - Stars: 138 total · +8 stars measured 2026-11-02, 11:38–14:05 UTC, ≈ 19 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-30 · Last push: 2026-10-30 - GitHub: https://github.com/gh9ko8y/graphmemory · Page: https://gitnova.dev/en/r/gh9ko8y/graphmemory ## Useful for - Connect the MCP server to an agent so it accumulates and forgets facts about a user - Configure TTL and time gradients so temporary states and promises expire automatically - Run memory_dedupe and memory_forget to clean semantic duplicates and stale facts ## Why it’s here - Star-counter measurements on 2026-11-02 (UTC), 11:38–14:05: 130 → 138 stars (+8). This is the change over that interval. - Estimated end-of-day forecast: about +19 stars, using observed gains and the previous day. - The repository is 3 days old and already has 138 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #192. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 33 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 4 ## Stars per day, last 4 days (oldest → newest, today is partial) 2026-10-30 … 2026-11-02: 20, 47, 47, 8 ## Spotted in now - Top new repositories this week: #192 ## More in this category 1. **deepseek-ai/dsh-superagent-prototype** — 9.5 · Breakout · AI agents · TypeScript · +4,484 stars measured 2026-11-02, 00:07–14:01 UTC, ≈ 7,286 by evening Research prototype of a proactive coding agent for a single GitHub repository, packaged as a bundle for DeepSeek Harness: it listens to GitHub and Feishu, opens work items and replies in the original conversation, for example with a pull… Full card: https://gitnova.dev/en/r/deepseek-ai/dsh-superagent-prototype.md 2. **pingdotgg/t3code** — 9.3 · Breakout · AI agents · TypeScript · +2,271 stars measured 2026-11-02, 00:07–14:01 UTC, ≈ 3,661 by evening T3 Code is an agent harness control surface for agents on your machine, with mobile (iOS, Android), web and Electron desktop apps. It works with your Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity subscriptions if… Full card: https://gitnova.dev/en/r/pingdotgg/t3code.md 3. **storytold/craft-anything** — 9.0 · Breakout · AI agents · Rust · +1,615 stars measured 2026-11-02, 00:07–14:01 UTC, ≈ 2,538 by evening A pure-Rust reverse-engineering engine with 284 tools that inspects websites, apps and games, then has a coding agent rebuild a similar version and checks the result against the original. Full card: https://gitnova.dev/en/r/storytold/craft-anything.md 4. **vercel-labs/agent-desktop** — 8.8 · Breakout · AI agents · Rust · +422 stars measured 2026-11-02, 11:38–14:01 UTC, ≈ 1,007 by evening Rust CLI that lets AI agents control desktop apps via macOS accessibility trees, with stable element refs and a snapshot-to-action loop. Combines a native binary with a C-ABI cdylib for Python/Swift/Go/Node bindings. Full card: https://gitnova.dev/en/r/vercel-labs/agent-desktop.md 5. **lightpanda-io/browser** — 8.2 · Breakout · AI agents · Zig · +707 stars measured 2026-11-02, 00:07–14:01 UTC, ≈ 1,182 by evening Lightpanda is a headless browser written from scratch in Zig, designed for AI agents and automation. It is not a Chromium fork and uses ~16x less memory and runs ~9x faster than headless Chrome. Full card: https://gitnova.dev/en/r/lightpanda-io/browser.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-11-02 14:18 UTC, updated every 30 minutes.