Infrastructure for autonomous coding agents.
CodePawl builds tools that help coding agents debug failures, remember useful context, coordinate work, recover from long-horizon execution errors, and optimize agent workloads.
- TracePawl — failure diagnosis and replay for coding agents
- MemPawl — persistent memory for agentic systems
- OpenPawl — runtime for coordinated coding agents
- CachePawl — optimization for long-horizon agent workloads
The current priority is TracePawl: a debugging and postmortem tool for coding-agent failures.
TracePawl focuses on answering questions such as:
- Why did the agent fail?
- Where did execution start to drift?
- Which tool call or context update caused the failure?
- What recovery action should be attempted next?
- Has a similar failure happened before?
CodePawl is interested in four core problems:
- Why coding agents fail
- How agents remember useful operational knowledge
- How multiple agents coordinate safely
- How long-running agent execution becomes cheaper and more reliable
CodePawl is early-stage research and engineering work. APIs, architecture, and project boundaries may change quickly.
Founder: An Nguyen
Email: founder@codepawl.com