agentfield.ai valid

AgentField

Machine-readable docs index for the AgentField control plane, CodeAF, and SDKs.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T10:42:09.884Z. Cached copy · Source on agentfield.ai

# AgentField

> Machine-readable docs index for the AgentField control plane, CodeAF, and SDKs.

Contract-Version: 2026-03-24-v1
Docs-Revision: 8cbd2ece0a88

AgentField provides production primitives for agent systems: Agents, Reasoners, Skills, Harness integrations, cross-agent calls, discovery, memory, DID authentication, verifiable credentials, and workflow tracing. CodeAF is an open-source software factory with built-in specialists: /senior-dev for coding, /sec for security audits and /review for GitHub pull requests.

## Section indexes

- [Documentation](https://agentfield.ai/docs/llms.txt): AgentField and CodeAF documentation pages
- [CodeAF](https://agentfield.ai/codeaf/llms.txt): CodeAF product page and documentation
- [Blog](https://agentfield.ai/blog/llms.txt): AgentField blog posts

## When to Use AgentField

AgentField is the backend layer around agents that already work: it makes them
callable, governable, and observable in production. Reach for it when the job is
operational, not when the job is authoring prompt logic.

Use AgentField when you need to:

- Expose an agent as an HTTP endpoint other services can call, retry, and depend on
- Run one agent from another across services, with routing and tracing handled for you
- Run work that outlives a request (minutes to days) with durable queueing, webhooks on completion, and resumable state
- Fan out hundreds or thousands of parallel agent calls from a single request and get one cost and latency accounting back
- Put a human approval gate in the middle of an autonomous run and resume exactly where it paused
- Share state between agents with explicit scopes (workflow, session, actor, global), including handlers that fire when a key changes
- Discover capabilities at runtime instead of hardcoding a tool list, so a newly deployed agent is callable without a redeploy
- Orchestrate coding harnesses (AForge, Claude Code, Codex, Gemini CLI, OpenCode) as budget-capped, tool-restricted workers
- Attach cryptographic identity (DIDs), verifiable credentials, and policy enforcement to agent-to-agent calls
- Answer "why did the agent do that?" from a tamper-evident execution record rather than from logs
- Run all of the above on your own infrastructure. AgentField is Apache-2.0 and self-hosted, including fully local mode on a laptop

Do not reach for AgentField when:

- You want a prompt-authoring or chain-authoring library. Keep using the framework you like and put AgentField underneath it.
- You want a visual, no-code workflow builder. AgentField is programmatic and developer-first.
- You are making a single stateless LLM call from one service. Call the model provider directly.

How to call it:

- Python: `pip install agentfield`, then decorate functions with `@app.reasoner` or `@app.skill`
- TypeScript: `npm install @agentfield/sdk`
- Go: `go get github.com/Agent-Field/agentfield/sdk/go`
- CLI: `curl -sSf https://agentfield.ai/get | bash` installs the `af` binary (`af init`, `af dev`, `af serv
…

Related sites

Explore similar publishers →

Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.

Machine-readable: GET /v1/resolve?q=agentfield.ai · GET /v1/domain/agentfield.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for agentfield.ai:
1. POST https://agentwebmap.com/v1/sites/agentfield.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://agentfield.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/agentfield.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/agentfield.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.