Caesar

Autonomous Agents 💻 Python ⚖️ Apache-2.0 🟢 Actively maintained
8 stars

Caesar is an autonomous AI research agent that navigates the web, builds a knowledge graph, and synthesizes novel, grounded answers. It is designed for open-ended, creative, cross-disciplinary research where simple retrieval is insufficient. It is for developers and researchers who need deep, original insights rather than quick factual lookups.

Caesar demo
🖼️ Screenshot from the project README

✨ Key features

  • Persistent knowledge graph built during exploration
  • Adversarial refinement over its own drafts
  • Serialized graph and JSON run log you keep
  • Runs on your own keys and hardware
  • Domain-specific role adaptation
  • Knowledge-guided exploration policy

🎯 Use cases

  • Hypothesis generation across domains
  • Literature synthesis with graph-grounded review
  • arXiv citation-graph review
  • Competitive intelligence mapping
  • Counterfactual and meta-creative reasoning

📦 Installation

🧰 Requirements: Python 3.10-3.13, an OPENAI_API_KEY (or Anthropic/Google/Brave keys for additional models/search), and internet access.

pip install caesar-agent
export OPENAI_API_KEY=your_key

From source:

git clone https://github.com/jasonzliang/caesar-agent.git
cd caesar-agent && pip install -e .
export OPENAI_API_KEY=your_key

🚀 Usage

caesar regular -q "your research question"

For a browser GUI:

cd web_server && ./launch.sh
# then open http://localhost:3000

⚠️ Good to know

Caesar is a research prototype, not a GA product; it is not suited for quick factual lookups or latency-sensitive applications, and it requires API keys (no zero-setup option).

❓ FAQ

Do I need GPUs?

No. Caesar uses hosted LLM APIs (OpenAI, Anthropic) and a local ChromaDB for vector storage; it runs on a laptop.

Which models are supported?

OpenAI (GPT-5 family, o-series), Anthropic (Claude 4.5/4.6), Google (Gemini 3.x), and any OpenAI-compatible endpoint, configurable per subsystem via YAML.

How much does a typical run cost?

A 5-iteration exploration with GPT-5.4-mini costs roughly $0.30 and takes 10 minutes; a 250-iteration deep run with the regular preset is typically $5–$10.

Can I reproduce the benchmarks?

Yes. Configs, judge rubrics, and evaluation scripts are in caesar/config/ and caesar/analysis/.

📊 Repository

🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.