diff --git a/profile/README.md b/profile/README.md index d587c11..9a1649b 100644 --- a/profile/README.md +++ b/profile/README.md @@ -1,101 +1,43 @@
-AgentField +AgentField โ€” The AI Backend. Build agents like APIs. -

-Everything shifts when **AI becomes native to the stack**. -We are shaping the future of how AI interacts with the digital world. +**Build agents like services. Scale them beyond chatbots** โ€” the AI Backend for production agents. Write Python, Go, or TypeScript and get callable REST APIs, async execution, memory, discovery, observability, identity, and verifiable audit, built in. -Open source control plane for autonomous software, where AI agents run as a governed digital workforce instead of loose scripts. - -[๐ŸŒ Website](https://agentfield.ai) โ€ข [๐Ÿ“š Docs](https://agentfield.ai/docs) โ€ข [โญ Main repo](https://github.com/Agent-Field/agentfield) +[**โญ Star AgentField**](https://github.com/Agent-Field/agentfield) ยท [Docs](https://agentfield.ai/docs) ยท [Website](https://agentfield.ai) ยท [Discord](https://discord.gg/aBHaXMkpqh)
--- -## Why this org exists - -Software is moving from **deterministic backends** to **autonomous backends**. - -Not just chatbots at the edge, but **digital workers in the core**: -AI that read ledgers, move money, reorder stock, rotate credentials, coordinate across vendors and spawn other agents. One support ticket or trade or incident can turn into hundreds of autonomous API calls in the background. +## Built on AgentField -At that point you are not just managing users or services. -You are managing a **digital workforce** that operates at machine speed inside your stack. +Production-grade autonomous agents. Apache 2.0. Each independently deployable. -We believe that world needs three things: +| Project | What it does | โ˜… | +|---|---|:-:| +| **[SWE-AF](https://github.com/Agent-Field/SWE-AF)** | Autonomous engineering backend โ€” hundreds of agents plan, code, test, and ship from one API call | [![](https://img.shields.io/github/stars/Agent-Field/SWE-AF?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/SWE-AF/stargazers) | +| **[sec-af](https://github.com/Agent-Field/sec-af)** | Autonomous security-audit backend โ€” agents prove exploitability with traces and evidence, no analyst in the loop | [![](https://img.shields.io/github/stars/Agent-Field/sec-af?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/sec-af/stargazers) | +| **[plandb](https://github.com/Agent-Field/plandb)** | Agent-native issue tracker โ€” backend that Claude Code, Codex, and other agents call directly (no human UI required) | [![](https://img.shields.io/github/stars/Agent-Field/plandb?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/plandb/stargazers) | +| **[af-deep-research](https://github.com/Agent-Field/af-deep-research)** | Autonomous research backend โ€” agents fan out, recurse, and self-correct without human direction | [![](https://img.shields.io/github/stars/Agent-Field/af-deep-research?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/af-deep-research/stargazers) | +| **[reels-af](https://github.com/Agent-Field/reels-af)** | Background video pipeline โ€” multi-agent backend ships viral reels / TikToks at ~$0.10 each, lights-out | [![](https://img.shields.io/github/stars/Agent-Field/reels-af?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/reels-af/stargazers) | +| **[pr-af](https://github.com/Agent-Field/pr-af)** | Autonomous PR-review backend โ€” agents triage every pull request before a human ever opens it | [![](https://img.shields.io/github/stars/Agent-Field/pr-af?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/pr-af/stargazers) | +| **[af-reactive-atlas-mongodb](https://github.com/Agent-Field/af-reactive-atlas-mongodb)** | Background MongoDB enrichment โ€” agents watch any collection and add an AI intelligence layer as documents arrive | [![](https://img.shields.io/github/stars/Agent-Field/af-reactive-atlas-mongodb?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/af-reactive-atlas-mongodb/stargazers) | +| **[cloudsecurity-af](https://github.com/Agent-Field/cloudsecurity-af)** | Autonomous IaC scanner โ€” agents reason about attack paths in the background, no analyst review required | [![](https://img.shields.io/github/stars/Agent-Field/cloudsecurity-af?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/cloudsecurity-af/stargazers) | +| **[roboscribe-af](https://github.com/Agent-Field/roboscribe-af)** | Autonomous dataset annotator โ€” agent swarm labels LeRobot demos without human raters | [![](https://img.shields.io/github/stars/Agent-Field/roboscribe-af?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/roboscribe-af/stargazers) | -1. **Agents as first-class actors** - Each agent should have an identity, a role and real accountability, not just an API key. +All run on **[agentfield](https://github.com/Agent-Field/agentfield)** [![](https://img.shields.io/github/stars/Agent-Field/agentfield?style=flat&label=&color=0c0b09&labelColor=8b7355&logo=github&logoColor=white&cacheSeconds=3600)](https://github.com/Agent-Field/agentfield/stargazers) โ€” one binary handling identity, queues, discovery, audit, and routing. -2. **Cryptographic provenance instead of vibes** - Important actions should come with receipts that can be verified, not just logs that can be edited. - -3. **Infrastructure that treats autonomy as a primitive** - Queues, webhooks, discovery, policies and observability that assume agents will think, fan out and coordinate behind the scenes. - -AgentField is where we build that stack in the open. +**[See all examples on agentfield.ai โ†’](https://www.agentfield.ai/examples)** --- -## What we've shipped - -Production-grade autonomous agents. Open source. Apache 2.0. Each independently deployable. - -| | What it does | Scale | -|---|---|---| -| **[SWE-AF](https://github.com/Agent-Field/af-swe-claude)** | Autonomous engineering team โ€” 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 | - -All run on [AgentField](https://github.com/Agent-Field/agentfield), the open source control plane. - ---- - -## What lives here - -- **`agentfield`** โ€” The open source control plane: queues, async webhooks, discovery, identity and audit in one binary. -- **SDKs** โ€” Thin Python SDK (more languages coming) so you write plain code while the control plane handles the hard parts. -- **Specs and playbooks** โ€” Reference designs for autonomous backends, IAM patterns for agents, and production workflow examples. - ---- - -## How to plug in early - -You can treat this org in three ways: - -1. **As a signal** - - Star [`agentfield`](https://github.com/Agent-Field/agentfield) if you believe agents should be treated like governed microservices, not one-off scripts. - - Watching this org is an easy way to track how the Internet of Agents stack is actually evolving. - -2. **As a lab** - - 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** - - Drop the binary next to your stack, point agents at it, and let it handle identity, queues, audit and routing so you do not have to keep reinventing the same plumbing. - ---- - -## A short vision for the Internet of Agents - -We are optimistic about a near future where: - -- Every meaningful workflow has a **fleet of agents** coordinating behind the scenes as an autonomous backend. -- Every agent carries **cryptographic proof** of who it is and what it is allowed to do. -- Every critical decision leaves a **verifiable trail**, so regulators, risk teams and customers can trust autonomous systems without having to trust any single vendor. - -If that is the kind of future you are building toward, you are in the right org. - ---- +## Why this org exists -## Stay close +Software is moving from **deterministic backends** to **autonomous backends** โ€” fleets of agents reading ledgers, moving money, rotating credentials, coordinating across vendors. That world needs three things AgentField provides: -- โญ Star the core: [github.com/Agent-Field/agentfield](https://github.com/Agent-Field/agentfield) -- ๐Ÿ”” Watch this org for new SDKs, examples and specs -- ๐Ÿ’ฌ Open a discussion or issue if you are running agents in production and want to compare notes +- **Agents as first-class actors** โ€” cryptographic identity per agent, not API keys +- **Verifiable provenance** โ€” every decision signs an audit trail you can verify offline +- **Autonomy as a primitive** โ€” queues, webhooks, discovery, policy built into the runtime -This is infrastructure, but more importantly it is a bet on how the AI economy will run once AI is truly native to the stack. +[How AgentField compares to LangChain, CrewAI, Temporal โ†’](https://agentfield.ai/docs/learn/vs-frameworks) diff --git a/profile/hero.png b/profile/hero.png index 0f47f3b..14bcfa3 100644 Binary files a/profile/hero.png and b/profile/hero.png differ