SeaGOAT
grontown
| SeaGOAT | grontown | |
|---|---|---|
| 7 | 3 | |
| 911 | 119 | |
| - | - | |
| 9.7 | 8.7 | |
| about 8 hours ago | 8 months ago | |
| Python | TypeScript | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SeaGOAT
-
Reviewing AI Code Search Tools
In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy.
- FLaNK Stack for 25 September 2023
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Show HN: SeaGOAT – local, “AI-based” grep for semantic code search
Ruby (.rb)
https://github.com/kantord/SeaGOAT#what-programming-langauge...
grontown
- FLaNK Stack for 25 September 2023
- eastworld - an open-source framework for generative game agents
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Show HN: A murder mystery game built on an open-source gen-AI agent framework
Hey HN,
Michael and Scott here. We’re open-sourcing an interactive murder mystery featuring LLM-driven character agents. Solve the mystery by finding clues, taking notes, and interrogating agents. They all have distinct motives, personality, and can impact the game in different ways (attacking you, running away, etc). Try it out, it’s pretty fun!
We’re also open-sourcing the framework that we used to make and refine the agents. The goal is to create an intuitive interface for storytellers to create, debug, and test game agents. We then take those game agents and expose an API beyond just chat - such as actions, player guardrails, emotional queries, etc.
We’re not done yet - there are a lot more features coming on the way: scenario-based agent evals, agent-storyline consistency management, automatic agent generation, etc.
We would love to hear your feedback.
Thanks!
[0] https://github.com/mluogh/grontown
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