Instructions for AI coding agents (Claude Code, Codex, Cursor, etc.) working on this codebase. When working in Conductor, you can use the .context/ directory for scratch notes or agent-to-agent handoff artifacts. This directory is gitignored. The specs/ and docs/ directories are symlinked from external locations. For a fresh clone or new workspace, create these symlinks: These contain private design documents and documentation that are not checked into the repository. This project uses two virtual environments: Use .venv for development tasks…
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Dash is a self-learning data agent that delivers insights, not just SQL results. It uses a team of specialists (Analyst + Engineer) coordinated by a leader to handle data queries and build computed data assets. Built on Agno. Runs in Slack, the terminal, or the AgentOS web UI.
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This file provides context for Claude Code when working with this repository. Agentic Investment Team — A multi-agent system built with Agno that simulates a professional investment team deploying $10M into public equities. Demonstrates 5 multi-agent architectures, three-layer knowledge, and institutional learning. All specialist agents use: - Gemini 3 Flash model (gemini-3-flash-preview) - PostgreSQL database (pgvector) for persistence - Committee context (Layer 1) in system prompt - Shared knowledge base (Layer 2) for RAG - Shared learnings (institutional learning) Committee…
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A conversational multi-agent team that produces Hyperframes motion-graphics videos from natural-language prompts. Part of the "mini demo agent" family alongside vibe-to-prd. The canonical specification is docs/SPEC.md. All other documentation derives from it — keep the two in sync. - Team definition: vibevideo/team.py (Vibe Video team leader, Coordinate mode) - Member agents: vibevideo/agents/animator.py (Animator), vibevideo/agents/codeexplorer.py (CodeExplorer), vibevideo/agents/researcher.py (Researcher, optional) - Shared settings: vibevideo/settings.py (DB, REPOSDIR, RENDERSDIR, model) - API server: app/main.py (FastAPI + AgentOS web UI) - Custom tools: vibevideo/tools/git.py (GitTools),…
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A code companion that lives in Slack. Understands code by searching it directly on disk, reviews PRs and branches, triages issues, learns team conventions, and contributes code via isolated git worktrees. The canonical specification is docs/SPEC.md. All other documentation derives from it. All agents share the same coda_learnings knowledge base via individual LearningMachine instances.
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Agno docs are direct, concrete, and professional. No marketing fluff. No AI-sounding prose. Every sentence earns its place. We cover a massive surface area. Analogies and commentary add cognitive load…
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This file provides context for Claude Code when working with this repository. AgentOS - A multi-agent demo system built by Agno showcasing Agno framework features (6 agents, 4 teams, 6 workflows, 3 multi-framework agents). All agents share: - PostgreSQL database (pgvector) for persistence - OpenAI GPT-5.4 model (configured in app/settings.py) - Chat history and context management
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Persistent ground rules for the Agno Setup Wizard project. These apply to every session. The full spec is in claude-code-instructions.md — read it before working. A copyable prompt that guides…
A file Claude Code reads at the start of every session. It holds the commands, conventions and warnings the agent needs for this project.
Where does it go?
At the repository root. Claude Code also reads CLAUDE.md files in subdirectories when it works there.
What should it contain?
Build and test commands, the project's layout, conventions that aren't obvious from the code, and mistakes to avoid. Short files tend to work better than long ones.
CLAUDE.md or AGENTS.md?
Claude Code reads CLAUDE.md; most other agents read AGENTS.md. Many projects keep one and point the other at it.
agno-agiCLAUDE.md