MCP servers and skills: search, filter by where they run, and compare.
Project memory for Codex and Antigravity, with DSH support on main. Local work history, bounded knowledge injection, progressive retrieval, explicit history import, a visual knowledge browser and opti
PythonMIT★ 1Few starsNo key
Diagnosis-first Agent Skills that turn AI from answer machine into learning tutor.
SkillMIT★ 15No key
Search, understand, reproduce, and improve an idea with ease
PythonMIT★ 1.2kNo key
SuperMemory: an MCP-first learning memory layer for Claude, Cursor, and agent workflows
PythonMIT★ 2Few starsNo key
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
OfficialSkillMIT★ 18kNo key
Turn AI-assisted coding into real understanding — an MCP server that quizzes you on the code your AI just wrote, plus a hosted learning ledger at covate.org
PythonMIT★ 8No key
Local-first game design OS for AI agents: turn sessions into evidence, experiments, reviewable decisions, and durable project memory—Human Gates and rollback.
SkillMIT★ 423No key
Forward videos from IM to transcript, Markdown, and your knowledge base — with raw and skill-updated outputs.
SkillMIT★ 166No key
Universal project management for AI coding agents — MCP server + CLI + git-native task board
PythonMIT★ 6No key
WAKE.md for AI agents: compile project state so agents stop starting cold.
PythonMIT★ 19No key
Smart Learn - Claude Code interactive learning skill. Feynman Technique five-step pipeline: concept map + Feynman explanation + self-test + association + summary. Zero dependencies, real-time Word + M
SkillMIT★ 21No key
Real-time stock API with Python, MCP server example, yfinance stock analysis dashboard
PythonMIT★ 53No key
Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.
PythonMIT★ 177No key
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills,
PythonMIT★ 341No key
Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.
PythonMIT★ 337No key
Static reproducibility checks, experiment replay, and verification for ML pipelines.
SkillMIT★ 45No key
MCP server to interact with LogSeq via its Local HTTP API - enabling AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph.
PythonMIT★ 343No key
Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP exits.
PythonMIT★ 244No key
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, a
PythonMIT★ 14No key
Who stands behind it
