# cloudwego/eino

> Eino is a Go framework for building LLM applications, offering reusable components (ChatModel, Tool, Retriever), an agent development kit, and graph-based orchestration. It follows Go conventions and draws from LangChain and Google ADK.

- Magnitude: 2.5 out of 10 — Steady
- Stars: 13,392 total · +10 stars measured 2026-10-22, 00:00–04:10 UTC, ≈ 32 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Go · License: Apache-2.0 · Created: 2024-12-04 · Last push: 2026-10-21
- GitHub: https://github.com/cloudwego/eino · Homepage: https://www.cloudwego.io/docs/eino/ · Page: https://gitnova.dev/en/r/cloudwego/eino

## Useful for

- Build a ReAct agent with tools using ChatModelAgent and a configured OpenAI model
- Compose a validation-generate-format pipeline as a graph and expose it as a tool for an agent
- Coordinate specialized sub-agents with DeepAgent to analyze a CSV and produce a summary chart

## Why it’s here

- Star-counter measurements on 2026-10-22 (UTC), 00:00–04:10: 13382 → 13392 stars (+10). This is the change over that interval.
- Estimated end-of-day forecast: about +32 stars, using observed gains and the previous day.
- Over the last two days the pace is 2.8× that of the previous week and a half.
- GitHub Trending Go today: #10, +19 stars.

## 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: 1,145
- Issues and pull requests: 1,379
- Watchers: 81
- Average over the last week: 15 per day
- Usual pace: 9 per day
- Stars in the last hour (measured): 1
- Latest release: v0.9.22 (2026-10-19)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-23 … 2026-10-22: 13, 10, 4, 8, 8, 21, 13, 10, 7, 9, 6, 2, 6, 7, 4, 13, 16, 7, 5, 11, 9, 10, 14, 6, 1, 5, 19, 20, 21, 10

## Magnitude by day, last 2 days

10-21 1.8, 10-22 2.5

## Spotted in now

- GitHub Trending Go today: #10, +19 stars

## 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

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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.