Build agents like services. Scale them beyond chatbots — 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.
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Production-grade autonomous agents. Apache 2.0. Each independently deployable.
| Project | What it does | ★ |
|---|---|---|
| SWE-AF | Autonomous engineering backend — hundreds of agents plan, code, test, and ship from one API call |  |
| sec-af | Autonomous security-audit backend — agents prove exploitability with traces and evidence, no analyst in the loop |  |
| plandb | Agent-native issue tracker — backend that Claude Code, Codex, and other agents call directly (no human UI required) |  |
| af-deep-research | Autonomous research backend — agents fan out, recurse, and self-correct without human direction |  |
| reels-af | Background video pipeline — multi-agent backend ships viral reels / TikToks at ~$0.10 each, lights-out |  |
| pr-af | Autonomous PR-review backend — agents triage every pull request before a human ever opens it |  |
| af-reactive-atlas-mongodb | Background MongoDB enrichment — agents watch any collection and add an AI intelligence layer as documents arrive |  |
| cloudsecurity-af | Autonomous IaC scanner — agents reason about attack paths in the background, no analyst review required |  |
| roboscribe-af | Autonomous dataset annotator — agent swarm labels LeRobot demos without human raters |  |
All run on agentfield 
See all examples on agentfield.ai →
Software is moving from deterministic backends to autonomous backends — fleets of agents reading ledgers, moving money, rotating credentials, coordinating across vendors. That world needs three things AgentField provides:
- Agents as first-class actors — cryptographic identity per agent, not API keys
- Verifiable provenance — every decision signs an audit trail you can verify offline
- Autonomy as a primitive — queues, webhooks, discovery, policy built into the runtime
