# codejunkie99/keel > A local-first macOS coding workspace built in Rust/GPUI: sessions, composer, terminal, coding-agent connections via ACP, and task-route selection by a local Laya selector or optional hosted Jev. - Magnitude: 4.7 out of 10 — Early signal - Stars: 87 total · +0 stars today, ≈ 46 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Rust · License: MIT · Created: 2026-09-22 · Last push: 2026-09-23 - GitHub: https://github.com/codejunkie99/keel · Page: https://gitnova.dev/en/r/codejunkie99/keel ## Useful for - Connect a coding agent over ACP and run a task in a session with terminal and changes view - Pick Laya, Jev, or Normal mode and inspect which routes the selector accepted, abstained on, or fell back from - Build the app from source with cargo and run checks via cargo test --workspace ## Why it’s here - 0 stars so far today, about 46 expected by the end of the day. - The spike has held for 3 days in a row — not a one-off blip. - The repository is 3 days old and already has 87 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #187. - About 8 forks a day — people are taking the code. ## 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: 10 - Issues and pull requests: 1 - Watchers: 0 - Average over the last week: 33 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-25: 0, 0, 0, 8, 79, 0 ## Spotted in now - Top new repositories this week: #187 ## More in this category 1. **google/ax** — 8.3 · Breakout · AI agents · Go · +0 stars today, ≈ 750 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 2. **vectorize-io/hindsight** — 7.6 · Breakout · AI agents · Python · +0 stars today, ≈ 814 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. **Contrastive-LM/CLM** — 7.5 · Early signal · AI agents · Python · +0 stars today, ≈ 429 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 4. **NandhaKishorM/laya** — 7.4 · Cooling · AI agents · Python · +0 stars today, ≈ 1,199 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 5. **mikehasa/golive-skill** — 7.3 · Early signal · AI agents · TypeScript · +0 stars today, ≈ 519 by evening Agent Skill and Node CLI that takes an agent-built app live: hosting, database, domain, email and payments on your own accounts. Runs a detect → plan → approve → apply → verify cycle with no hosted backend or telemetry. Full card: https://gitnova.dev/en/r/mikehasa/golive-skill.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 05:43 UTC, updated every 30 minutes.