Agent-Laufzeit 🤖

Was ist ein Agent? Gehirn, Workspace und Tool-Zugriff in einem. OpenClaw runs a single embedded agent runtime derived from p-mono.

Workspace (required)

OpenClaw uses a single agent workspace directory (agents.defaults.workspace) as the agent’s only working directory (cwd) for tools und context. Recommended: use openclaw setup to create ~/.clawdbot/openclaw.json if missing und initialize the workspace files. Full workspace layout + backup guide: Agent workspace. If agents.defaults.sandbox is enabled, non-main sessions can override this with per-session workspaces under agents.defaults.sandbox.workspaceRoot (see Gateway-Konfiguration).

Bootstrap files (injected)

Inside agents.defaults.workspace, OpenClaw expects these user-editable files:

• AGENTS.md — operating instructions + “memory”
• SOUL.md — persona, boundaries, tone
• TOOLS.md — user-maintained tool notes (e.g. imsg, sag, conventions)
• BOOTSTRAP.md — one-time first-run ritual (deleted after completion)
• IDENTITY.md — agent name/vibe/emoji
• USER.md — user profile + preferred address

On the first turn of a new session, OpenClaw injects the contents of these files directly into the agent context. Blank files are skipped. Large files are trimmed und truncated with a marker so prompts stay lean (read the file for full content). If a file is missing, OpenClaw injects a single “missing file” marker line (and openclaw setup will create a safe default template). BOOTSTRAP.md is only created for a brand new workspace (no other bootstrap files present). If you delete it after completing the ritual, it should not be recreated on later restarts. To disable bootstrap file creation entirely (for pre-seeded workspaces), set:

{ agent: { skipBootstrap: true } }

Built-in tools

Core tools (read/exec/edit/write und related system tools) are always available, subject to tool policy. apply_patch is optional und gated by tools.exec.applyPatch. TOOLS.md does not control which tools exist; it’s guidance for how you want them used.

Skills

OpenClaw loads skills from three locations (workspace wins on name conflict):

• Bundled (shipped with the install)
• Managed/local: ~/.clawdbot/skills
• Workspace: <workspace>/skills

Skills can be gated by config/env (see skills in Gateway-Konfiguration).

p-mono integration

OpenClaw reuses pieces of the p-mono codebase (models/tools), but session management, discovery, und tool wiring are OpenClaw-owned.

• No p-coding agent runtime.
• No ~/.pi/agent or <workspace>/.pi settings are consulted.

Sitzungen

Session transcripts are stored as JSONL at:

• ~/.clawdbot/agents/<agentId>/sessions/<SessionId>.jsonl

The session ID is stable und chosen by OpenClaw. Legacy Pi/Tau session folders are not read.

Steering while streaming

When queue mode is steer, inbound messages are injected into the current run. The queue is checked after each tool call; if a queued message is present, remaining tool calls from the current assistant message are skipped (error tool results with “Skipped due to queued user message.”), then the queued user message is injected before the next assistant response. When queue mode is followup or collect, inbound messages are held until the current turn ends, then a new agent turn starts with the queued payloads. Siehe Queue for mode + debounce/cap behavior. Block streaming sends completed assistant blocks as soon as they finish; it is off by default (agents.defaults.blockStreamingStandard: "off"). Tune the boundary via agents.defaults.blockStreamingBreak (text_end vs message_end; defaults to text_end). Control soft block chunking with agents.defaults.blockStreamingChunk (defaults to 800–1200 chars; prefers paragraph breaks, then newlines; sentences last). Coalesce streamed chunks with agents.defaults.blockStreamingCoalesce to reduce single-line spam (idle-based merging before send). Non-Telegram channels require explicit *.blockStreaming: true to enable block replies. Verbose tool summaries are emitted at tool start (no debounce); Control UI streams tool output via agent events when available. More details: Streaming + chunking.

Model refs

Model refs in config (for example agents.defaults.model und agents.defaults.models) are parsed by splitting on the first/.

• Use provider/model when configuring models.
• If the model ID itself contains / (OpenRouter-style), include the provider prefix (example: openrouter/moonshotai/kimi-k2).
• If you omit the provider, OpenClaw treats the input as an alias or a model for the default provider (only works when there is no / in the model ID).

Konfiguration (minimal)

At minimum, set:

• agents.defaults.workspace
• channels.whatsapp.allowFrom (strongly empfohlen)

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