Enterprise-grade autonomous AI infrastructure for adversarial analysis, MLOps, multi-agent systems, and decision intelligence.
TechKnowmad Labs builds dependable autonomous intelligence systems: agents that reason under constraints, evaluate ideas adversarially, ground decisions in evidence, and ship through auditable MLOps workflows.
| Repository | Domain | Status |
|---|---|---|
| idea-killer | Business model red-teaming | Maintained |
| pitch-critic | Pitch and fundraising critique | Maintained |
| red-team-kit | Multi-agent adversarial testing | Maintained |
| graph-forge | Knowledge graph construction | Maintained |
| ground-truth | RAG hallucination detection | Maintained |
| agent-sim | Multi-agent simulation | Maintained |
| trace-agent | Agent observability | Maintained |
| pep-spec | Phyloid Evolution Protocol | Standard |
| phyloid-engine | Evolution engine runtime | Maintained |
| phyloid | 3D evolution simulator | Product |
| techknowmad-mcp | MCP servers for agents | Maintained |
| founder-arsenal | Founder operating system | Maintained |
- Protected
mainbranches with linear history, stale review dismissal, code owner review requirements, and blocked force-pushes/deletions. - Dependabot is enabled across maintained repositories for GitHub Actions and package ecosystems.
- Security issues are handled through private vulnerability reporting where available. Do not open public issues for suspected vulnerabilities.
- Releases and CI are expected to be reproducible, reviewable, and backed by local verification before merge.
- Use each repository's
README.md,CONTRIBUTING.md, andSECURITY.mdfor project-specific guidance. - For responsible disclosure or enterprise collaboration, contact
admin@techknowmad.ai. - Headquarters: Chennai, Tamil Nadu, India.