Engineering in public.
Engineering credibility should be demonstrated rather than claimed.
Argbit maintains open-source tooling in the areas where enterprise AI is hardest: orchestration, evaluation, integration and observability.
Repositories below are published as they reach a usable state.
Tooling we use in client engagements.
Each repository exists because we needed it on real work. Status reflects the current state honestly rather than aspirationally.
Orchestration runtime with typed tool contracts, per-run budgets, retries and structured traces.
CI-executed evaluation suites for agentic systems: task completion, escalation precision, latency and cost per task.
Model Context Protocol connectors for enterprise systems of record, with identity propagation and audit records.
A reader for agent traces designed for support engineers rather than for researchers.
Public code is the clearest engineering signal.
Reading an evaluation harness or a tool gateway tells you more about how a team thinks than any capability deck.
Contribution principles
- Small, documented interfaces
- Evaluation before features
- No vendor lock-in by default
- Security and auditability treated as requirements
- Honest status labels on every repository
Using one of our repositories?
Issues and design discussions are welcome. If you are evaluating the tooling for a production programme, we are happy to talk through the trade-offs.