Explore live open-source projects and AI models.

A practical guide to incorporating AI coding agents into real engineering workflows: context management, prompt engineering, and disciplined AI-assisted development

A brain-inspired, portable context database for AI agents

Self-learning context infrastructure for AI engineering agents. Connect repos, docs, and tools into one org-scoped knowledge graph and expose it through a single MCP.

A comprehensive collection of prompts, strategies, and best practices for effectively utilizing large language models (LLMs).

Customer memory for AI sales agents. CRMy gives agents trusted context across contacts, accounts, and deals before every action. One briefing_get call. MCP-native. PostgreSQL-backed. Open source.

Claudikins Automatic Context Manager - seamless context handoff for Claude Code

Stop Claude Code from breaking your projects. Ready-to-use CLAUDE.md templates, subagents, hooks, and anti-regression configs.

Spec-driven development (SDD) for agents, all in a docker-like interface with your own custom workflows.

Local-first CLI to read, compare, and hand off sessions across Claude Code, Codex, Gemini, and Cursor agents. Checkpoints, cross-agent messaging, zero npm deps.

Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini Flash → Neo4j (via Graphiti). 12 MCP tools, hierarchical clusters, two-regime confidence decay.