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9 analyzed repos ready for contributors.
davidichalfyorov-wq/sct-theory
SCT Theory is a solo research workspace implementing 'Spectral Causal Theory', a theoretical physics program attempting to derive quantum gravity corrections from the spectral data of the Dirac ope...
people interested in computational mathematical physics, specifically heat kernel methods, spectral geometry, and numerical verification of quantum field theory calculations in curved spacetime
chopratejas/headroom
Headroom is a transparent LLM context compression proxy that sits between your application and providers like OpenAI/Anthropic. It intercepts prompt messages and compresses tool outputs, JSON array...
people interested in LLM cost optimization infrastructure, specifically the engineering problem of compressing heterogeneous agent context (JSON tool outputs, logs, code, RAG results) without degrading answer quality — touching NLP compression algorithms, statistical anomaly detection, and LLM proxy architecture
billy-enrizky/openbrowser-ai
OpenBrowser is a Python framework for AI-driven browser automation that uses Chrome DevTools Protocol (CDP) directly instead of Playwright/Selenium, combined with a LangGraph-based CodeAgent where ...
building LLM-powered web automation pipelines that need fine-grained browser control without Playwright overhead — scraping, form filling, flight booking bots, or any task requiring an agent that can reason about and interact with live web pages
kayba-ai/agentic-context-engine
ACE (Agentic Context Engine) is a Python framework that enables AI agents to learn from their own execution traces without fine-tuning. It maintains a 'Skillbook' — a living prompt document of lear...
people interested in in-context learning for AI agents — specifically the problem of making agents accumulate and reuse procedural knowledge across task executions without any model training
semmyt/witness-memory-chain
witness-memory-chain is a TypeScript library that creates a cryptographically-verifiable append-only memory store for AI agents, using Ed25519 signatures and SHA-256 hash chains to make agent memor...
Great for people interested in AI agent identity and memory provenance — specifically building systems where you need cryptographic proof that an agent's memory hasn't been tampered with, or anchoring AI decision logs to public blockchains for compliance or auditability.
lap-platform/lap
LAP (Lean API Platform) is a CLI tool and Python library that compiles API specifications (OpenAPI, GraphQL, AsyncAPI, Protobuf, Postman, Smithy) into a compact custom text format designed to reduc...
building token-efficient API documentation pipelines for LLM agents, particularly people integrating real-world APIs into coding assistants or autonomous agents who need to minimize context window usage
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