From Proposal to Verified Effect: Praxa, an Evidence-Bound Harness for Governed AI Agent Execution
cs.AI
Submitted: 2026-07-27
Updated: 2026-07-27
Code: https://github.com/praxa-labs/praxa
Sources
- Evaluating Large Language Models Trained on Code
- Defeating Prompt Injections by Design
- AI Control: Improving Safety Despite Intentional Subversion
- Recursive Harness Self-Improvement
- Holistic Evaluation of Language Models
- AutoDojo: A Generative Benchmark for Evaluating Prompt Injection Defenses in LLM Agents
- Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
- Toolformer: Language Models Can Teach Themselves to Use Tools
- Progent: Securing AI Agents with Privilege Control
- Reflexion: Language Agents with Verbal Reinforcement Learning
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
- MiniScope: Authorizing Agents with Least-Privilege Permissions
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