From 638036b21a87bbefbc90aec3f2c691cf1f3fffd6 Mon Sep 17 00:00:00 2001 From: Mariusz Sabath Date: Sat, 31 Oct 2026 13:17:59 -0400 Subject: [PATCH 1/2] Docs: align the org profile repository list with the current focus Mirror the website's project directory in the org profile README: core projects (moca, cortex, eventing-lab, autobench, state-lab), context & governance (context-guru, aiac, lab-data-governance, context-service), and automation & repo maintenance (automation, repoman). The rossoctl and .github repos stay listed under platform & docs. Drops the stale Kubernetes-platform framing, the A2A/MCP standards block, and the deprecated or experimental repos (operator, examples, agent-skills, workload-harness, capture-the-flag, mcp-gateway) from the org front page. Assisted-By: Claude (Anthropic AI) Signed-off-by: Mariusz Sabath --- profile/README.md | 45 ++++++++++++++++++++++++--------------------- 1 file changed, 24 insertions(+), 21 deletions(-) diff --git a/profile/README.md b/profile/README.md index b573dc0..7e415ed 100644 --- a/profile/README.md +++ b/profile/README.md @@ -1,34 +1,37 @@ -## Rossoctl - The Agentic Platform -An open source platform for building, deploying, securing, and governing AI agents on Kubernetes. +## Rossoctl -Built on open standards: -- [A2A](https://github.com/google/A2A) — agent-to-agent communication -- [MCP](https://modelcontextprotocol.io/) — agent-to-tool integration +Open source infrastructure for running, connecting, and benchmarking AI coding agents — built in the open at [rossoctl.dev](https://www.rossoctl.dev/). ### Repositories -#### Core +#### Core projects -- **[rossoctl](https://github.com/rossoctl/rossoctl)** - Main installer, UI, and documentation (Python) -- **[operator](https://github.com/rossoctl/operator)** - Kubernetes operator for deploying and lifecycle management of agents and tools (Go) -- **[cortex](https://github.com/rossoctl/cortex)** - Kubernetes security extensions for zero-trust agent authentication (Go) -- **[examples](https://github.com/rossoctl/examples)** - Sample agents and tools (Python) -- **[.github](https://github.com/rossoctl/.github)** - Project website and documentation (Docusaurus/HTML) -- **[automation](https://github.com/rossoctl/automation)** - Automated org maintenance tooling using a scanner/fixer pattern (Shell) -- **[agent-skills](https://github.com/rossoctl/agent-skills)** - Reusable agent skills for org automation, such as link-health, automated pull request reviewing, and dependency scanning (Shell) -- **[rossoctl-cli](https://github.com/rossoctl/rossoctl-cli)** - Command-line interface for Rossoctl (Go) +- **[moca](https://github.com/rossoctl/moca)** - Dense, warm process-manager runtime for stateful AI coding agents — sessions resume exactly where they left off (Go) +- **[cortex](https://github.com/rossoctl/cortex)** - The proxy layer between coding agents and everything they touch — see what your agent sends and pay less for it (Go) +- **[eventing-lab](https://github.com/rossoctl/eventing-lab)** - Signed-event agent wake path: a Kafka message wakes a coding agent and every step streams back as CloudEvents (Python) +- **[autobench](https://github.com/rossoctl/autobench)** - Automated benchmarking of agentic AI workloads — deploys the workload, collects per-task telemetry, publishes durable artifacts (Python) +- **[state-lab](https://github.com/rossoctl/state-lab)** - Demo flows exploring state requirements for distributed agents, from durability to passability -#### Experimental +#### Context & governance -- **[mcp-gateway](https://github.com/Kuadrant/mcp-gateway)** - Envoy-based MCP Gateway (Go) — *hosted under [Kuadrant](https://github.com/Kuadrant) org* -- **[capture-the-flag](https://github.com/rossoctl/capture-the-flag)** - Capture the flag scenarios to demonstrate and test Rossoctl's security posture -- **[workload-harness](https://github.com/rossoctl/workload-harness)** - Benchmarking and load-generation harness for evaluating agents on the Rossoctl platform (Shell) -- **[context-guru](https://github.com/rossoctl/context-guru)** - Context engineering for agentic systems — compacts and summarizes LLM context to cut cost and latency while preserving accuracy (Go) -- **[aiac](https://github.com/rossoctl/aiac)** - AI-based Access Control — translates natural-language policy into enforced PDP rules for AI agents on Kubernetes (Python) +- **[context-guru](https://github.com/rossoctl/context-guru)** - Provider-agnostic context engineering for LLM agents — lower token cost and latency without sacrificing accuracy (Go) +- **[aiac](https://github.com/rossoctl/aiac)** - AI-based access control — translates natural-language policy into enforced permissions on OPA (Python) +- **[lab-data-governance](https://github.com/rossoctl/lab-data-governance)** - Data-aware governance: observes how data flows across agents, tools, and sessions, and derives interactions, classifications, and lineage (Python) +- **[context-service](https://github.com/rossoctl/context-service)** - Agent context infrastructure: durable storage and lifecycle management for agent state, memory, knowledge, workspaces, and artifacts (Go) + +#### Automation & repo maintenance + +- **[automation](https://github.com/rossoctl/automation)** - Automated org maintenance programs using a scanner/fixer pattern (Shell) +- **[repoman](https://github.com/rossoctl/repoman)** - RepoMan: automated repo-maintenance programs across enrolled GitHub repos (Shell) + +#### Platform & docs + +- **[rossoctl](https://github.com/rossoctl/rossoctl)** - Installer, web console, and documentation (Python) +- **[.github](https://github.com/rossoctl/.github)** - Project website and documentation (Docusaurus) ### Get involved - 📖 Start with the [CONTRIBUTING](https://github.com/rossoctl/rossoctl/blob/main/CONTRIBUTING.md) guide - 👥 Meet the [maintainers](https://github.com/rossoctl/rossoctl/blob/main/MAINTAINERS.md) -- 🌐 Learn more at [rossoctl.dev](https://rossoctl.dev/) +- 🌐 Learn more at [rossoctl.dev](https://www.rossoctl.dev/) - 💬 Or just come say hi in the [Rossoctl Slack](https://ibm.biz/rossoctl-slack) From 0183cc4d1349cf7b84f99134ab353f5d5b6a6f96 Mon Sep 17 00:00:00 2001 From: Mariusz Sabath Date: Mon, 2 Nov 2026 13:57:34 -0500 Subject: [PATCH 2/2] Docs: correct moca's language annotation in the org profile GitHub reports TypeScript as moca's dominant language by a wide margin (Go is secondary), so (Go) was inverted. Use (TypeScript), matching the identical fix in rossoctl/rossoctl#2662 so the two project lists stay byte-identical. Assisted-By: Claude (Anthropic AI) Signed-off-by: Mariusz Sabath --- profile/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/profile/README.md b/profile/README.md index 4880821..fda17e9 100644 --- a/profile/README.md +++ b/profile/README.md @@ -6,7 +6,7 @@ Open source infrastructure for running, connecting, and benchmarking AI coding a #### Core projects -- **[moca](https://github.com/rossoctl/moca)** - Dense, warm process-manager runtime for stateful AI coding agents — sessions resume exactly where they left off (Go) +- **[moca](https://github.com/rossoctl/moca)** - Dense, warm process-manager runtime for stateful AI coding agents — sessions resume exactly where they left off (TypeScript) - **[cortex](https://github.com/rossoctl/cortex)** - The proxy layer between coding agents and everything they touch — see what your agent sends and pay less for it (Go) — [install stats](https://rossoctl.github.io/cortex/install-stats/) (estimated from GitHub download counts, not from user machines) - **[eventing-lab](https://github.com/rossoctl/eventing-lab)** - Signed-event agent wake path: a Kafka message wakes a coding agent and every step streams back as CloudEvents (Python) - **[autobench](https://github.com/rossoctl/autobench)** - Automated benchmarking of agentic AI workloads — deploys the workload, collects per-task telemetry, publishes durable artifacts (Python)