# slavakurilyak/awesome-ai-agents > A curated awesome list of 300+ agentic AI resources: frameworks, memory, evaluation, observability, MCP and guardrails, grouped by category. - Magnitude: 2.6 out of 10 — Steady - Stars: 2,339 total · +0 stars measured 2026-10-05, 10:59–12:37 UTC, ≈ 8 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Go · License: MIT · Created: 2024-01-15 · Last push: 2026-10-04 - GitHub: https://github.com/slavakurilyak/awesome-ai-agents · Page: https://gitnova.dev/en/r/slavakurilyak/awesome-ai-agents ## Useful for - Find an AI agent framework by browsing the list's categories - Compare agent evaluation and observability tools from the collection - Pick an MCP server or guardrail solution for your agent ## Why it’s here - Star-counter measurements on 2026-10-05 (UTC), 10:59–12:37: 2339 → 2339 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +8 stars, using observed gains and the previous day. - Over the last two days the pace is 3.3× that of the previous week and a half. - GitHub Trending Go today: #4, +32 stars. - About 12 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: 594 - Issues and pull requests: 653 - Watchers: 32 - Average over the last week: 12 per day - Usual pace: 4 per day - Stars in the last hour (measured): 1 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-06 … 2026-10-05: 1, 1, 1, 0, 0, 1, 2, 0, 1, 1, 10, 6, 0, 2, 0, 1, 2, 4, 2, 8, 10, 6, 10, 11, 7, 9, 1, 13, 34, 0 ## Spotted in now - GitHub Trending Go today: #4, +32 stars ## Similar by description 1. **avelino/awesome-go** — 3.2 · Steady · Learning & lists · Go · +77 stars measured 2026-10-05, 00:08–12:35 UTC, ≈ 154 by evening A curated list of Go frameworks, libraries, and software, organized by categories ranging from AI and databases to web frameworks and testing. Full card: https://gitnova.dev/en/r/avelino/awesome-go.md 2. **Axorax/awesome-free-apps** — 1.4 · Steady · Learning & lists · JavaScript · +3 stars measured 2026-10-05, 00:13–11:56 UTC, ≈ 6 by evening A curated list of free apps for PC and mobile, grouped by category and platform. Helps find a free or open-source program for a specific task. Full card: https://gitnova.dev/en/r/Axorax/awesome-free-apps.md 3. **yibie/awesome-jev** — 2.4 · Cooling · Learning & lists · Python · +15 stars measured 2026-10-05, 00:10–12:37 UTC, ≈ 27 by evening A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions (choice, score, boolean with confidence). Full card: https://gitnova.dev/en/r/yibie/awesome-jev.md 4. **guanmo-ai/awesome-ai-motion** — 1.4 · Cooling · Generative media · JavaScript · +1 star measured 2026-10-05, 00:08–11:55 UTC, ≈ 4 by evening A curated collection of AI animations and videos with the authors' original prompts, grouped by category (product promos, explainers, short motion effects, character animation, etc.). Full card: https://gitnova.dev/en/r/guanmo-ai/awesome-ai-motion.md 5. **v-modal/awesome-jev-tools** — 0.9 · Steady · Learning & lists · +0 stars measured 2026-10-05, 00:14–11:59 UTC, ≈ 1 by evening A curated list of public projects and practices built on Jev, TypeSafe AI's System One model for typed decisions that takes unstructured state and returns a typed answer with a confidence rating. It gathers production use cases and… Full card: https://gitnova.dev/en/r/v-modal/awesome-jev-tools.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 2026-10-05 12:40 UTC, updated every 30 minutes.