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Data sourced from GitHub API

  1. Home
  2. Repositories
  3. go-kratos
  4. blades
GoNiche visibilityFresh activityNo linked package signalPartial snapshot

go-kratos/blades

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Jul 30, 2026

Blades is a Go-based multimodal AI Agent framework.

Compare closest alternativesOpen GitHub

First read

Promising movement, but the picture is still partial

go-kratos/blades is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.

Visible

805 public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Jul 30, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 805 stars
  • 100 forks
  • Last commit Jul 30, 2026
  • Package usage not mapped yet

Compare lens

langgenius/dify and n8n-io/n8n are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Jul 30, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for go-kratos/blades, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

agentagent-frameworkagent-kitagent-sdkagent-workflowaigolangllmmulti-agentstudioworkflow
🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update.

Fresh update
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 805
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars805
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Go repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

langgenius/dify

Shares the frameworks category footprint with go-kratos/blades, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

n8n-io/n8n

Shares the frameworks category footprint with go-kratos/blades, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

langchain-ai/langchain

Shares the frameworks category footprint with go-kratos/blades, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

avelino/awesome-go

Shares the frameworks category footprint with go-kratos/blades, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked dify + n8n as the closest next comparison from the related repository set.

Open compare presetCompare with difyCompare with n8n
Repo utility

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Wider nearby ecosystem

Compare with difyCompare with n8n
TypeScript
150.8K stars
langgenius/dify

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

TypeScript
198.7K stars
n8n-io/n8n

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Python
143K stars
langchain-ai/langchain

The agent engineering platform.

Go
179.6K stars
avelino/awesome-go

A curated list of awesome Go frameworks, libraries and software

Shell
263.7K stars
obra/superpowers

An agentic skills framework & software development methodology that works.

Python
163.2K stars
huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of go-kratos/blades based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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