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Pick up to 3 tracked repos to see how they stack up on popularity (stars), momentum (stars gained recently), and maintenance (releases and code pushes).

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This week's head-to-heads

The two fastest-rising repos in each category over the last 7 days, compared on stars gained, total stars, forks, language, age and releases.

AI agents

rea vs dsh-our-free-model

rea gained 32,063 stars in the last 7 days against 12,100 for dsh-our-free-model, about 2.6 times as many.

In total, rea has 417k stars and 104k forks; dsh-our-free-model has 55k stars and 1,511 forks.

rea is written mainly in TypeScript and was created 7 months ago; dsh-our-free-model is mainly JavaScript, created 37 days ago.

rea's latest release is rea-agents-6.8.0 (7 days ago); dsh-our-free-model's latest release is v2.8.0-macos-unofficial (today).

See the full comparison table

LLM tooling

ponytail vs Claude-Mem

ponytail gained 5,810 stars in the last 7 days against 5,179 for Claude-Mem (partly estimated), a close race.

In total, ponytail has 182k stars and 10k forks; Claude-Mem has 108k stars and 9,502 forks.

ponytail is written mainly in JavaScript and was created 5 months ago; Claude-Mem is mainly TypeScript, created 14 months ago.

ponytail's latest release is v5.3.3 (3 days ago); Claude-Mem's latest release is v15.8.0 (today).

See the full comparison table

MCP

hyperframes vs xerj

hyperframes gained 4,597 stars in the last 7 days against 2,940 for xerj, about 1.6 times as many.

In total, hyperframes has 76.7k stars and 7,025 forks; xerj has 18.5k stars and 1,403 forks.

hyperframes is written mainly in TypeScript and was created 8 months ago; xerj is mainly Rust, created 4 months ago.

hyperframes' latest release is v0.8.226 (today); xerj's latest release is v1.0.0-rc.100 (4 days ago).

See the full comparison table

Coding agents

Orca vs magpie

Orca gained 6,194 stars in the last 7 days against 5,819 for magpie, a close race.

In total, Orca has 112k stars and 7,082 forks; magpie has 27.3k stars and 2,297 forks.

Orca is written mainly in TypeScript and was created 8 months ago; magpie is mainly Go, created 38 days ago.

Orca's latest release is v1.4.245 (2 days ago); magpie's latest release is v0.1.2579 (today).

See the full comparison table

RAG / vector

DeepTutor vs WeKnora

DeepTutor gained 10,520 stars in the last 7 days against 761 for WeKnora, about 13.8 times as many.

In total, DeepTutor has 53.2k stars and 6,509 forks; WeKnora has 36.1k stars and 4,918 forks.

DeepTutor is written mainly in Python and was created 10 months ago; WeKnora is mainly Go, created 16 months ago.

DeepTutor's latest release is v1.7.1 (today); WeKnora's latest release is v0.9.0 (3 days ago).

See the full comparison table

Local LLMs

Ollama vs DigUp

Ollama gained 767 stars in the last 7 days against 298 for DigUp, about 2.6 times as many.

In total, Ollama has 186k stars and 18.8k forks; DigUp has 6,073 stars and 476 forks.

Ollama is written mainly in Go and was created 3 years ago; DigUp is mainly Swift, created 23 days ago.

Ollama's latest release is v0.40.13 (3 days ago); DigUp's latest release is v0.6.2 (10 days ago).

See the full comparison table

How to compare open-source repos

Stars
GitHub's bookmark button. A high total means many developers noticed the project at some point; it says little about whether it is still maintained.
Stars gained (24 hours, 7 days)
Momentum. OSS Radar ranks repos by these gains, so a young project gaining fast can outrank an older one with far more total stars.
Forks
Copies people made to change the code. Many forks relative to stars usually means people are building on it, not just bookmarking it.
Last code push and latest release
Maintenance signals. A recent push shows someone is still working on it; tagged releases show versions you can pin to.
Hacker News
How many HN stories linked the repo and how many points they drew: a rough measure of discussion outside GitHub.

Stars, forks, pushes and releases come from the public GitHub API and are refreshed hourly; Hacker News figures come from HN's public search API. Sponsors never affect rankings or comparisons.