# omnara-ai/omnara > Omnara is an open-source, self-hostable platform for running managed AI agents on any model and any machine, with tools, secrets, permissions, and streaming built in. It serves as an alternative to Claude Managed Agents and OpenAI's Agents API. - Magnitude: 5.6 out of 10 — Breakout - Stars: 3,006 total · +37 stars measured 2026-10-22, 00:01–04:07 UTC, ≈ 107 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Go · License: Apache-2.0 · Created: 2025-07-09 · Last push: 2026-10-22 - GitHub: https://github.com/omnara-ai/omnara · Homepage: https://www.omnara.com · Page: https://gitnova.dev/en/r/omnara-ai/omnara ## Useful for - Launch an agent via the CLI with an agent.yaml config to run commands on a chosen machine. - Self-host the platform with Docker Compose and connect your own model provider and machines. - Integrate agent launching and event streaming into your app using the TypeScript SDK or REST API. ## Why it’s here - Star-counter measurements on 2026-10-22 (UTC), 00:01–04:07: 2969 → 3006 stars (+37). This is the change over that interval. - Estimated end-of-day forecast: about +107 stars, using observed gains and the previous day. - Over the last two days the pace is 20× that of the previous week and a half. - Hacker News: “Show HN: Omnara – Open-Source Alternative to Claude Managed Agents” — 40 points, 11 h ago. ## 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: 239 - Issues and pull requests: 698 - Watchers: 12 - Average over the last week: 28 per day - Usual pace: 3 per day - Stars in the last hour (measured): 16 - Latest release: omnarad-v0.2.9 (2026-10-21) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-23 … 2026-10-22: 1, 5, 2, 2, 0, 3, 4, 0, 1, 0, 4, 4, 8, 1, 4, 3, 2, 4, 2, 1, 5, 4, 8, 6, 6, 2, 6, 7, 59, 37 ## Magnitude by day, last 2 days 10-21 1.5, 10-22 5.6 ## Hacker News - Show HN: Omnara – Open-Source Alternative to Claude Managed Agents — 40 points, 12 comments: https://news.ycombinator.com/item?id=50183892 ## Spotted in now - Spotted on Hacker News ## More in this category 1. **google-research/harness2** — 7.8 · Peaking · AI agents · Python · +122 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,079 by evening A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks. Full card: https://gitnova.dev/en/r/google-research/harness2.md 2. **ai-job-search-dev/ai-job-search** — 7.3 · Peaking · AI agents · Python · +95 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,273 by evening A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market. Full card: https://gitnova.dev/en/r/ai-job-search-dev/ai-job-search.md 3. **Graphify-Labs/graphify** — 6.8 · Breakout · AI agents · Python · +215 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,239 by evening Turns any codebase, docs, SQL schemas, configs, and PDFs into a queryable knowledge graph. Works as a /graphify skill in Claude Code, Cursor, Codex, and Gemini CLI with local deterministic AST parsing. Full card: https://gitnova.dev/en/r/Graphify-Labs/graphify.md 4. **aicodeking/pandacode** — 6.1 · Early signal · AI agents · Rust · +12 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 175 by evening A native desktop workspace for managing and running coding agents. It unifies projects, Git, terminal, and LLM tools in one window. Full card: https://gitnova.dev/en/r/aicodeking/pandacode.md 5. **bowenliang123/dsh-context** — 6.1 · Breakout · AI agents · TypeScript · +68 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 378 by evening A DeepSeek Harness plugin that visualizes an agent's context: dashboard, browser, sidebar panel and /context command showing composition, stats and evolution of the context window. Full card: https://gitnova.dev/en/r/bowenliang123/dsh-context.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 2026-10-22 04:18 UTC, updated every 30 minutes.