shcherbak-ai/contextgem
ContextGem: Effortless LLM extraction from documents
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
ContextGem: Effortless LLM extraction from documents
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Plug and play AI agents for any domain
Lean Cortex -- the cognitive context layer for agentic systems. 51+ MCP tools, 10 read modes, 95+ shell patterns. Up to 99% token savings. Works with Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini.
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.
3 captures since 2026-05-22
AI agent config detected
Key config paths
.claude
AGENTS.md
CLAUDE.md
.claude
.claude/skills
.claude/skills/nocturnusai-admin
.claude/skills/nocturnusai-admin/SKILL.md
.claude/skills/nocturnusai-connect
.claude/skills/nocturnusai-connect/SKILL.md
.claude/skills/nocturnusai-knowledge
.claude/skills/nocturnusai-knowledge/SKILL.md
.claude/skills/nocturnusai-memory
.claude/skills/nocturnusai-memory/SKILL.md
.claude/skills/nocturnusai-reasoning
.claude/skills/nocturnusai-reasoning/SKILL.md
AGENTS.md
CLAUDE.md