legacy engine and uses it by default. Install and select a plugin engine only when you want different assembly, compaction, or cross-session recall behavior.
Quick start
Install a plugin engine
Context engine plugins are installed like any other OpenClaw plugin.
- From npm
- From a local path
How it works
Every time OpenClaw runs a model prompt, the context engine participates at four lifecycle points:1. Ingest
1. Ingest
Called when a new message is added to the session. The engine can store or index the message in its own data store.
2. Assemble
2. Assemble
Called before each model run. The engine returns an ordered set of messages (and an optional
systemPromptAddition) that fit within the token budget.3. Compact
3. Compact
Called when the context window is full, or when the user runs
/compact. The engine summarizes older history to free space.4. After turn
4. After turn
Called after a run completes. The engine can persist state, trigger background compaction, or update indexes.
maintain() method for transcript maintenance (safe rewrites via runtimeContext.rewriteTranscriptEntries()) after bootstrap, a successful turn, or compaction. Set info.turnMaintenanceMode: "background" to run it as deferred work instead of blocking the reply.
For the bundled non-ACP Codex harness, OpenClaw applies the same lifecycle by projecting assembled context into Codex developer instructions and the current turn prompt. Codex still owns its native thread history and native compactor.
Subagent lifecycle (optional)
OpenClaw calls two optional subagent lifecycle hooks:Prepare shared context state before a child run starts. The hook receives parent/child session keys,
contextMode (isolated or fork), available transcript ids/files, and optional TTL. If it returns a rollback handle, OpenClaw calls it when spawn fails after preparation succeeds. Native subagent spawns that request lightContext and resolve to contextMode="isolated" intentionally skip this hook so the child starts from the lightweight bootstrap context without context-engine-managed pre-spawn state.Clean up when a subagent session completes or is swept.
System prompt addition
Theassemble method can return a systemPromptAddition string. OpenClaw prepends this to the system prompt for the run. This lets engines inject dynamic recall guidance, retrieval instructions, or context-aware hints without requiring static workspace files.
The legacy engine
The built-inlegacy engine preserves OpenClaw’s original behavior:
- Ingest: no-op (the session manager handles message persistence directly).
- Assemble: pass-through (the existing sanitize → validate → limit pipeline in the runtime handles context assembly).
- Compact: delegates to the built-in summarization compaction, which creates a single summary of older messages and keeps recent messages intact.
- After turn: no-op.
systemPromptAddition.
When no plugins.slots.contextEngine is set (or it’s set to "legacy"), this engine is used automatically.
Plugin engines
A plugin can register a context engine using the plugin API:ctx includes optional config, agentDir, and workspaceDir
values so plugins can initialize per-agent or per-workspace state before the
first lifecycle hook runs.
Then enable it in config:
The ContextEngine interface
Required members:| Member | Kind | Purpose |
|---|---|---|
info | Property | Engine id, name, version, and whether it owns compaction |
ingest(params) | Method | Store a single message |
assemble(params) | Method | Build context for a model run (returns AssembleResult) |
compact(params) | Method | Summarize/reduce context |
assemble returns an AssembleResult with:
The ordered messages to send to the model.
The engine’s estimate of total tokens in the assembled context. OpenClaw uses this for compaction threshold decisions and diagnostic reporting.
Prepended to the system prompt.
Controls which token estimate the runner uses for preemptive overflow
prechecks. Defaults to
"assembled", which means only the assembled
prompt’s estimate is checked for engines that do not own compaction.
Engines that set ownsCompaction: true manage their own prompt admission,
so OpenClaw skips the generic pre-prompt precheck by default. Set
"preassembly_may_overflow" only when your assembled view can hide overflow
risk in the underlying transcript; the runner then keeps the generic
precheck active and takes the maximum of the assembled estimate and the
pre-assembly (unwindowed) session-history estimate when deciding whether to
preemptively compact. Either way, the messages you return are still what the
model sees - promptAuthority only affects the precheck.Optional projection lifecycle for hosts with persistent backend threads (for example Codex app-server).
mode: "thread_bootstrap" with a stable epoch asks the host to inject the assembled context once per epoch and reuse the backend thread until the epoch changes, instead of re-projecting every turn. Omit this field for normal per-turn projection.compact returns a CompactResult. When compaction rotates the active
transcript, result.sessionId and result.sessionFile identify the successor
session that the next retry or turn must use.
Optional members:
| Member | Kind | Purpose |
|---|---|---|
bootstrap(params) | Method | Initialize engine state for a session. Called once when the engine first sees a session (e.g., import history). |
maintain(params) | Method | Transcript maintenance after bootstrap, a successful turn, or compaction. Use runtimeContext.rewriteTranscriptEntries() for safe rewrites. |
ingestBatch(params) | Method | Ingest a completed turn as a batch. Called after a run completes, with all messages from that turn at once. |
afterTurn(params) | Method | Post-run lifecycle work (persist state, trigger background compaction). |
prepareSubagentSpawn(params) | Method | Set up shared state for a child session before it starts. |
onSubagentEnded(params) | Method | Clean up after a subagent ends. |
dispose() | Method | Release resources. Called during gateway shutdown or plugin reload - not per-session. |
Runtime settings
Lifecycle hooks that run inside OpenClaw receive an optionalruntimeSettings object. It is a versioned, read-only internal
producer/consumer API surface: OpenClaw produces it for the selected context
engine, and the context engine consumes it inside lifecycle hooks. It is not
rendered directly to users and does not create a dedicated reporting surface.
schemaVersion: currently1runtime: OpenClaw host, runtime mode (normal,fallback, ordegraded), and optional harness/runtime idscontextEngineSelection: selected context engine id and selection sourceexecutionHost: host id and label for the surface invoking the hookmodel: requested model, resolved model, provider, and optional model familylimits: prompt token budget and max output tokens when knowndiagnostics: closed fallback and degraded reason codes when known
null; discriminator fields such
as runtime mode and selection source remain non-nullable. Older engines remain
compatible: if a strict legacy engine rejects runtimeSettings as an unknown
property, OpenClaw retries the lifecycle call without it instead of quarantining
the engine.
Host requirements
Context engines can declare host capability requirements oninfo.hostRequirements.
OpenClaw checks these requirements before starting the operation and fails closed
with a descriptive error when the selected runtime cannot satisfy them.
For agent runs, declare assemble-before-prompt when the engine must control the
actual model prompt through assemble():
assemble-before-prompt.
Generic CLI backends do not, so engines that require it are rejected before the
CLI process starts.
Failure isolation
OpenClaw isolates the selected plugin engine from the core reply path. If a non-legacy engine is missing, fails contract validation, throws during factory creation, or throws from a lifecycle method, OpenClaw quarantines that engine for the current Gateway process and downgrades context-engine work to the built-inlegacy engine. The error is logged with the failed operation so the
operator can repair, update, or disable the plugin without the agent going
silent.
Host requirement failures are different: when an engine declares that a runtime
lacks a required capability, OpenClaw fails closed before starting the run. That
protects engines that would corrupt state if they ran in an unsupported host.
ownsCompaction
ownsCompaction controls whether OpenClaw runtime’s built-in in-attempt auto-compaction stays enabled for the run:
ownsCompaction: true
ownsCompaction: true
The engine owns compaction behavior. OpenClaw disables OpenClaw runtime’s built-in auto-compaction and generic pre-prompt overflow precheck for that run, and the engine’s
compact() implementation is responsible for /compact, provider overflow recovery compaction, and any proactive compaction it wants to do in afterTurn(). OpenClaw still runs the pre-prompt overflow safeguard when the engine returns promptAuthority: "preassembly_may_overflow" from assemble().ownsCompaction: false or unset
ownsCompaction: false or unset
OpenClaw runtime’s built-in auto-compaction may still run during prompt execution, but the active engine’s
compact() method is still called for /compact and overflow recovery.- Owning mode
- Delegating mode
Implement your own compaction algorithm and set
ownsCompaction: true.compact() is unsafe for an active non-owning engine because it disables the normal /compact and overflow-recovery compaction path for that engine slot.
Configuration reference
The slot is exclusive at run time - only one registered context engine is resolved for a given run or compaction operation. Other enabled
kind: "context-engine" plugins can still load and run their registration code; plugins.slots.contextEngine only selects which registered engine id OpenClaw resolves when it needs a context engine.Plugin uninstall: when you uninstall the plugin currently selected as
plugins.slots.contextEngine, OpenClaw resets the slot back to the default (legacy). The same reset behavior applies to plugins.slots.memory. No manual config edit is required.Relationship to compaction and memory
Compaction
Compaction
Compaction is one responsibility of the context engine. The legacy engine delegates to OpenClaw’s built-in summarization. Plugin engines can implement any compaction strategy (DAG summaries, vector retrieval, etc.).
Memory plugins
Memory plugins
Memory plugins (
plugins.slots.memory) are separate from context engines. Memory plugins provide search/retrieval; context engines control what the model sees. They can work together - a context engine might use memory plugin data during assembly. Plugin engines that want the active memory prompt path should prefer buildMemorySystemPromptAddition(...) from openclaw/plugin-sdk/core, which converts the active memory prompt sections into a ready-to-prepend systemPromptAddition. If an engine needs lower-level control, it can still pull raw lines from openclaw/plugin-sdk/memory-host-core via buildActiveMemoryPromptSection(...).Session pruning
Session pruning
Trimming old tool results in-memory still runs regardless of which context engine is active.
Tips
- Use
openclaw doctorto verify your engine is loading correctly. - If switching engines, existing sessions continue with their current history. The new engine takes over for future runs.
- Engine errors are logged and the selected plugin engine is quarantined for the current Gateway process. OpenClaw falls back to
legacyfor user turns so replies can continue, but you should still repair, update, disable, or uninstall the broken plugin. - For development, use
openclaw plugins install -l ./my-engineto link a local plugin directory without copying.
Related
- Compaction - summarizing long conversations
- Context - how context is built for agent turns
- Plugin Architecture - registering context engine plugins
- Plugin manifest - plugin manifest fields
- Plugins - plugin overview