From 62b910b099863d2fd1ff27db2f72662289391f62 Mon Sep 17 00:00:00 2001 From: santoshkumarradha Date: Mon, 9 Mar 2026 17:45:55 +0530 Subject: [PATCH] feat: add "What we've shipped" showcase table to org profile Cross-reference all 5 production repos with scale numbers. Trim "What lives here" section. Update "As a lab" with repo links. --- profile/README.md | 27 +++++++++++++++++---------- 1 file changed, 17 insertions(+), 10 deletions(-) diff --git a/profile/README.md b/profile/README.md index dc23169..d587c11 100644 --- a/profile/README.md +++ b/profile/README.md @@ -39,20 +39,27 @@ AgentField is where we build that stack in the open. --- -## What lives here +## What we've shipped + +Production-grade autonomous agents. Open source. Apache 2.0. Each independently deployable. -This org is the home for: +| | What it does | Scale | +|---|---|---| +| **[SWE-AF](https://github.com/Agent-Field/af-swe-claude)** | Autonomous engineering team — one API call ships planned, coded, tested, reviewed code | 400-500+ agents/build | +| **[SEC-AF](https://github.com/Agent-Field/sec-af)** | Security auditor that proves exploitability, not just flags patterns | 200-300 agents/audit | +| **[Contract-AF](https://github.com/Agent-Field/contract-af)** | Legal contract risk analyzer with adversarial verification and negotiation playbooks | 20-100+ agents/contract | +| **[AF Deep Research](https://github.com/Agent-Field/af-deep-research)** | Autonomous research backend with self-correcting loops | 10,000+ agents/query | +| **[Reactive Atlas](https://github.com/Agent-Field/af-reactive-atlas-mongodb)** | Turn any MongoDB collection into an AI intelligence layer | 3-14 agents/document | -- **`agentfield`** - The open source control plane that runs AI agents like microservices, with queues, async webhooks, discovery, identity and audit in one binary. +All run on [AgentField](https://github.com/Agent-Field/agentfield), the open source control plane. -- **SDKs and examples** - Thin SDKs that let you write plain Python (and other languages over time) while the control plane handles the hard parts: long-running work, streaming notes, multi-agent calls, verifiable credentials. +--- -- **Specs, playbooks and experiments** - Reference designs for autonomous backends, IAM patterns for agents, and example workflows that show what a real agent economy looks like in production. +## What lives here -If you want to understand where agent infrastructure is going, watching this org will tell you more than any single blog post. +- **`agentfield`** — The open source control plane: queues, async webhooks, discovery, identity and audit in one binary. +- **SDKs** — Thin Python SDK (more languages coming) so you write plain code while the control plane handles the hard parts. +- **Specs and playbooks** — Reference designs for autonomous backends, IAM patterns for agents, and production workflow examples. --- @@ -65,7 +72,7 @@ You can treat this org in three ways: - Watching this org is an easy way to track how the Internet of Agents stack is actually evolving. 2. **As a lab** - - Use the examples to prototype serious use cases: refunds, treasury flows, claim handling, compliance checks, research workflows. + - Run [SWE-AF](https://github.com/Agent-Field/af-swe-claude), [SEC-AF](https://github.com/Agent-Field/sec-af), [Contract-AF](https://github.com/Agent-Field/contract-af), [AF Deep Research](https://github.com/Agent-Field/af-deep-research), or [Reactive Atlas](https://github.com/Agent-Field/af-reactive-atlas-mongodb) against your own projects. - Stress test the control plane with the kind of multi-agent fan-out you cannot safely run through a single monolith. 3. **As infrastructure**