Adapters Overview

What adapters are and how they connect agents to EnerBrain Agency

Adapters are the bridge between EnerBrain Agency's orchestration layer and agent runtimes. Each adapter knows how to invoke a specific type of AI agent and capture its results.

How Adapters Work

When a heartbeat fires, EnerBrain Agency:

1. Looks up the agent's adapterType and adapterConfig
2. Calls the adapter's execute() function with the execution context
3. The adapter spawns or calls the agent runtime
4. The adapter captures stdout, parses usage/cost data, and returns a structured result

Built-in Adapters

Credential ownership for sandbox targets

Local CLI adapters can run on the EnerBrain Agency host, SSH targets, or managed sandbox targets. The adapter decides which credential home is authoritative before the CLI starts:

Worked examples:

• Codex sandbox with host ChatGPT login: the host ~/.codex/auth.json is symlinked into the managed home, then uploaded as the sandbox CODEX_HOME. Codex reads that uploaded file and does not use any auth.json already present inside the sandbox image.
• Claude sandbox with image login: EnerBrain Agency materializes a remote CLAUDE_CONFIG_DIR, then fills missing .credentials.json / credentials.json from the sandbox image's own $HOME/.claude. The snapshot's Claude login is the credential source for the run.

Hermes local vs gateway

Use hermes_local when EnerBrain Agency should start the local hermes CLI on the same host for each heartbeat. Use hermes_gateway when Hermes is already running as an HTTP/SSE API server and EnerBrain Agency should call that server instead of spawning a process. Both type keys are stable built-ins.

The unified Hermes package owns both built-in adapters. The older @paperclipai/adapter-hermes-gateway package remains only as a deprecated compatibility shim that re-exports the gateway entrypoints for one release. New plugin overrides should target @paperclipai/hermes-paperclip-adapter and set the desired type key (hermes_local or hermes_gateway).

External (plugin) adapters

These adapters ship as standalone npm packages and are installed via the plugin system:

External Adapters

You can build and distribute adapters as standalone packages — no changes to EnerBrain Agency's source code required. External adapters are loaded at startup via the plugin system.

# Install from npm via API
curl -X POST http://localhost:3102/api/adapters \
  -d '{"packageName": "my-paperclip-adapter"}'

# Or link from a local directory
curl -X POST http://localhost:3102/api/adapters \
  -d '{"localPath": "/home/user/my-adapter"}'

See External Adapters for the full guide.

Adapter Architecture

Each adapter is a package with modules consumed by three registries:

my-adapter/
  src/
    index.ts            # Shared metadata (type, label, models)
    server/
      execute.ts        # Core execution logic
      parse.ts          # Output parsing
      test.ts           # Environment diagnostics
    ui-parser.ts        # Self-contained UI transcript parser (for external adapters)
    cli/
      format-event.ts   # Terminal output for `paperclipai run --watch`

Choosing an Adapter

• Need a coding agent? Use claude_local, codex_local, opencode_local, hermes_local, or install droid_local as an external plugin
• Need the richest live run feedback? Use claude_local, codex_local, or gemini_local with adapterConfig.engine set to acp when the execution environment satisfies the ACP prerequisites — see Feedback granularity
• Need Hermes on another host or already running as a service? Use hermes_gateway
• Need to run a script or command? Use process
• Need to call a custom external service? Use http
• Need something custom? Create your own adapter or build an external adapter plugin

Feedback Granularity

Adapter choice determines how much structured, live detail a run's transcript can show while the agent is still working. Every adapter's stdout is streamed to the run log and rendered live in the UI — including runs on sandbox execution targets, whose logs are tailed and delivered incrementally — but the granularity of what you see depends on the event stream the adapter emits.

Rough tiers, richest first:

1. Native ACP engine (claude_local, codex_local, or gemini_local with engine: "acp") — full structured event stream. ACP emits a JSONL event per meaningful runtime moment: acpx.session (agent, mode, session identity), acpx.status (progress text plus context-window usage), acpx.text_delta (assistant/thinking token deltas), acpx.tool_call (tool title, call id, and status updates as the call progresses), acpx.result (stop reason summary), and acpx.error (code, message, retryability). The transcript renders these as live-updating message, thinking, tool, and status blocks, and repeated acpx.tool_call status updates fold into a single tool card instead of stacking duplicates.
2. CLI wrappers (claude_local, codex_local, cursor, opencode_local, …). These parse each CLI's own streaming JSON output. You get assistant text, tool calls/results, and a final usage/cost summary, but granularity is limited to what the CLI prints — some emit tool progress, others only call/finish pairs.
3. Generic adapters (process, http). Plain stdout/stderr lines with no structured transcript — you see raw output only.

Recommendation: use the native ACP engine on claude_local, codex_local, or gemini_local when the selected execution environment supports it. Rich ACP status events (including context usage) and incremental tool-call updates give the closest thing to watching the agent work locally.

UI Parser Contract

External adapters can ship a self-contained UI parser that tells the EnerBrain Agency web UI how to render their stdout. Without it, the UI uses a generic shell parser. See the UI Parser Contract for details.

Cursor failure details

The Cursor CLI adapter uses structured error output first, then the first nonempty diagnostic line. It skips the informational cursor-retrieval: tracing to ... file-location notice. If the CLI exits unsuccessfully with only that notice, the run shows the exit code. The original stdout and stderr remain in the local run result and log for troubleshooting. Environment probes use the same diagnostic selection. This does not change retry or success decisions.