# Avinash-jetwani/jevmem > Automatic project memory for Claude Code, Cursor and Codex: it saves decisions, constraints, bugs and todos from chats into JEVMEM.md and injects relevant lines into the next session's context. - Magnitude: 4.0 out of 10 — Early signal - Stars: 43 total · +46 stars today, ≈ 58 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-09-22 · Last push: 2026-09-25 - GitHub: https://github.com/Avinash-jetwani/jevmem · Homepage: https://www.npmjs.com/package/jevmem · Page: https://gitnova.dev/en/r/Avinash-jetwani/jevmem ## Useful for - Hook jevmem into Claude Code so chat decisions land in JEVMEM.md automatically - Inspect which memory lines get injected into context before a new prompt - Tune save thresholds and question types in jevmem.config.json ## Why it’s here - 46 stars so far today, about 58 expected by the end of the day. - The repository is 3 days old and already has 43 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Jevmem – automatic project memory for Claude Code, built on Jev” — 44 points, 1 h ago. - Recent forks include notable developers: @wyattjoh (338 followers). ## 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: 7 - Watchers: 0 - Average over the last week: 15 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 15 - Latest release: v0.5.0 (2026-09-25) ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-25: 0, 0, 2, 0, 0, 46 ## Hacker News - Jevmem – automatic project memory for Claude Code, built on Jev — 44 points, 31 comments: https://news.ycombinator.com/item?id=49846391 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **paperclipai/paperclip** — 8.7 · Breakout · AI agents · TypeScript · +1,241 stars today, ≈ 1,665 by evening Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 2. **vectorize-io/hindsight** — 8.7 · Breakout · AI agents · Python · +1,343 stars today, ≈ 1,783 by evening Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or… Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md 3. **google/ax** — 7.8 · Breakout · AI agents · Go · +526 stars today, ≈ 749 by evening A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network… Full card: https://gitnova.dev/en/r/google/ax.md 4. **Contrastive-LM/CLM** — 7.5 · Early signal · AI agents · Python · +240 stars today, ≈ 351 by evening CLM is a class of System One language models trained contrastively to connect states and actions; the repo serves CLM-8B behind a TypeSafe-compatible API for fast agent decision-making. Full card: https://gitnova.dev/en/r/Contrastive-LM/CLM.md 5. **NandhaKishorM/laya** — 7.4 · Cooling · AI agents · Python · +843 stars today, ≈ 1,200 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.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 2026-09-25 17:53 UTC, updated every 30 minutes.