shcherbak-ai/contextgem
ContextGem: Effortless LLM extraction from documents
Repository profile
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc
Repository updates
Get generated Auctalis/nocturnusai development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-16 03:08
7 captures since 2026-05-22
Stars from baseline +1
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:08
build.gradle.kts
java ecosystem,
3 dependencies
settings.gradle.kts
java ecosystem,
0 dependencies
nocturnusai-bench/requirements.txt
python ecosystem,
8 dependencies
nocturnusai-cli/build.gradle.kts
java ecosystem,
7 dependencies
nocturnusai-core/build.gradle.kts
java ecosystem,
3 dependencies
nocturnusai-server/build.gradle.kts
java ecosystem,
19 dependencies
site/package.json
javascript ecosystem,
8 dependencies
site/package-lock.json
javascript ecosystem,
502 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Nearest indexed repositories by embedding similarity.
ContextGem: Effortless LLM extraction from documents
Self-tuning multi-agent AI trading system. 8-source signal fusion (Polymarket + Kalshi + 10 ML models incl. Kronos foundation model), Bull/Bear/Judge debate on Claude Opus 4.7, Portfolio Manager gate.
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Fast, small, secure, local-first personal AI assistant infrastructure: one Rust binary for tools, memory, channels, providers, and sandboxed autonomy.
EnigmAgent — 6-layer encrypted vault for AI agents (AES-256 + ChaCha20 + Blowfish + Fernet + 3DES + RSA). P2P sync via Gun.js. Zero cloud. Part of P2PCLAW.
A coding agent and general agent harness for building and orchestrating agentic applications.