Gemini agents
Memory-backed agents, API tool calls, parallel execution, prompt chains, and router-based orchestration.
- agent_with_memory.py
- router_agent.py
- parallel_agent.py
- prompt_chain_agent.py
OpenAI · Google Gemini
Autonomous & semi-autonomous AI agents
Experiments in reasoning, tool use, memory, routing, and real-world interview-style workflows — built with modern LLM APIs.
Repository projects
Python agents live in the repo; this site is the project homepage on GitHub Pages.
OpenAI experiments
Starter scripts and API integration patterns for GPT-based workflows.
Browse openai/Mock interview agent
Role-based interview simulation with memory, tools, and routing for multi-step Q&A flows.
- interview_agent.py
- mock_interview.py
- memory_manager.py
What this repo explores
- Reasoning Structured prompts and agent decision loops
- Tools API-augmented actions and external calls
- Memory Persistent context across sessions
- Routing Multi-agent handoff and specialization