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@false-systems

False Systems

Infrastructure software built for clarity. CI, observability, delivery, and operations — designed to work together.
README.md

False Systems

Infrastructure built for AI agents, not retrofitted for them.

Every major company is deploying AI agents to manage infrastructure and developer workflows. But all the tools those agents rely on were built for humans — dashboards to look at, logs to read, YAML to write.

Agents can use them. They can't understand them.

False Systems builds the infrastructure layer that AI agents actually need: context-aware, causally-aware, designed from the schema up for LLM consumption. Not a wrapper around legacy observability. A new foundation.

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  1. sykli sykli Public

    AI-native CI — pipelines in your language, local-first, team-distributed via BEAM mesh. Write CI in Go/Rust/TypeScript/Elixir. Structured context for AI assistants: errors, causality, cache predict…

    Elixir 3 1

  2. tapio tapio Public

    Edge Intelligence for Kubernetes eBPF-based agent that captures kernel-level events, filters to anomalies at the edge

    Rust 2

  3. polku polku Public

    A programmable Rust message pipeline that transforms, buffers, and routes messages between internal services.

    Rust 1

  4. syva syva Public

    Kernel-level eBPF enforcement for existing Kubernetes clusters. 7 LSM hooks watch every open, exec, kill, ptrace, and cgroup move — no runtime replacement needed.

    Rust 1

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