msitarzewski/agency-agents · 150,281 stars · MIT · last commit 5 September 2026

A library of role cards for coding assistants. Each card is a text file describing a specialist (security, testing, SEO, finance) that you drop into your tool. The repo announces more than 230 agents. Our own count after cloning, on 6 September 2026, gives 273 cards. What it does not do: no code runs, these are written instructions only. The cost is whatever the model reading them charges. The project itself documents that some tools only register part of the cards and silently drop the rest.

github.com/msitarzewski/…

trailhq/Graft · 5,609 stars · MIT · last commit 2 September 2026

It maps your code, in text, and gives the map to your coding assistant so it stops re-reading the entire repo on every question. Its standard protocol (SWE-bench Verified, 50 cases, same model on both sides) shows 19% less cost and 12 more accuracy points. What it does not do: it understands only 23 languages and ignores the rest, and it does not confine itself to the current repo unless you ask it to. The plain-language summaries require an API key and cost money, only the structural map is free. Its install command writes settings for all your repos, unless you pass --no-global.

github.com/trailhq/Graft

Tcotl/AgentCapture · 35 stars · AGPL-3.0 · last commit 4 September 2026

A honeypot for agents: 23 techniques to identify an agent visiting your site, trap it, and replay its session. Tested against five mainstream agents, all trapped. What it does not do: does not detect agents that only read without interacting. It does not block anything either, it watches and records, the decision stays yours.

github.com/Tcotl/AgentCapture

advaitpaliwal/feynman · 8,871 stars · MIT · last commit 6 September 2026

A command-line assistant that fetches scientific papers (arXiv, PubMed, OpenAlex, ClinicalTrials.gov), reads them, ranks them, produces a synthesis, and checks that every cited source actually exists. What it does not do: its ground is scientific literature, not current events. It does not verify a news claim. You must plug in your own model, and running heavy experiments means installing Docker, Modal or RunPod yourself.

github.com/advaitpaliwal/feynman

JordyZomer/lemmalog — 242 stars, MIT licence, last commit 27 August 2026 Memory for agents that keeps track of where each fact came from. Ships an MCP server, so it plugs straight into your agent.

What it does not do one node only, no distribution, and memory is filled by hand: nothing is extracted from conversations on its own.

Few stars, young project: that is normal and says nothing about quality. The risk here is not a trap, it is abandonment in three months.

→ github.com/JordyZomer/lemmalog

XiaoDuoYa/codex-with-chatgpt — 2,072 stars, MIT licence, last commit 28 August 2026 ChatGPT thinks and splits the task, Codex executes.

What it does not do nothing offline, and it leans on two paid subscriptions. If either provider closes the tap, the whole rig stops, and that does happen.

→ github.com/XiaoDuoYa/codex-with-chatgpt

earthtojake/text-to-cad — 14,101 stars, MIT licence, last commit 1 September 2026 Describe a part in plain English, get the computer-aided design file back.

What it does not do no viewer, you need external CAD software to open the result, and it does not handle multi-part assemblies.

→ github.com/earthtojake/text-to-cad

A warning that holds for the whole section. Stars can be bought, a few cents each. A project with fifty thousand stars, twelve forks and no discussion does not happen naturally. None of these tests proves anything, they only say where to look. The one protection that does not depend on your instinct is limiting what the module is allowed to do.