whereismyai
Reef
Reef: Open-source infrastructure that connects agent inference, feedback, model training, and versioned deployment.
Reef is open-source continual learning infrastructure built for self-improving agents. It serves as inference-native infrastructure that allows agents to learn from live traffic and continually update their weights and configuration. Users can start a local stack, send a provider-native request, and grade the receipt that Reef returns. The platform supports open-source development under the Apache-2.0 license. It helps developers build agents that adapt through feedback and training loops.
Reef at a glance
- Best for: Software engineer, Researcher
- Pricing: Open source
- Released: August 2026
- Category: AI agent tool
- Website: reefinfra.ai
Key features
- Connect agent inference and feedback
- Run model training and versioned deployment
- Start a local stack
- Send provider-native requests
- Grade returned receipts
Use it for
- Build continually self-improving agents
- Update agent weights from live traffic
- Manage versioned model deployments
Alternatives to Reef
- AgentENV — Scales massive Firecracker environments across machines efficiently.
- FastGPT — It uses hybrid retrieval and auto-cleansed data to prevent hallucinations.
- OpenBot — Runs entirely on your own infrastructure with strict document permissions and custom.
- OmniAgent — It evolves skills in real-time and dynamically hardens security during task execution.
- Beeuni — Agents retain context and improve skills over time through a controlled review process.
- AgentDock — It coordinates multi-device workflows and provides secure environment access.
- MyAgent — It features built-in permission controls, long-term memory, and skill self-evolution.
- OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
- GEAR — Organizes recursive self-improvement through evolutionary search and reproducible evaluation.
- CoralBricks — Fast inference up to 469 output tokens per second with zero cost for cached input.
- Letta — Provides agents with advanced memory and continual learning capabilities.
- Agent Lightning — Train existing artificial intelligence agents with reinforcement learning and zero code changes.
All Reef alternatives