Compress agent session history ~99% before it hits the LLM, so you stop paying to re-send the whole transcript on every call. Works with any model — Claude, GPT, Ollama, Mistral, LM Studio. > **Self-contained (v1.4.0):** The compression core is bundled directly in this > skill (`src/compression.ts`). There is **no external runtime dependency**, and > the plugin makes **no network, file-system, or on-chain calls**. Everything > runs locally using only Node's built-in `zlib` and `crypto`. > **D...
Scanned 9/9/2026
Install to Claude Code
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# Context Capsule
Compress agent session history ~99% before it hits the LLM, so you stop paying
to re-send the whole transcript on every call. Works with any model — Claude,
GPT, Ollama, Mistral, LM Studio.
> **Self-contained (v1.4.0):** The compression core is bundled directly in this
> skill (`src/compression.ts`). There is **no external runtime dependency**, and
> the plugin makes **no network, file-system, or on-chain calls**. Everything
> runs locally using only Node's built-in `zlib` and `crypto`.
> **Data handling:** Every message is scanned by an inline vault gate before it
> reaches the compression core or the model — on every code path, including short
> sessions, the verbatim tail, and the compression-failure fallback. API keys,
> tokens, credentials, PII, and card numbers are replaced with typed
> placeholders. No matched values are logged, only category counts. Redaction is
> best-effort pattern matching, **not a guarantee** — do not rely on it as the
> sole protection for highly sensitive chats.
## When to use
- Long-running agent sessions (default: more than 20 messages) where the
transcript is large and you want to cut per-call token cost.
- Any model/provider — local or hosted.
## When NOT to use
- Sessions that require **exact, verbatim transcript fidelity**. Older history is
summarized into a compact capsule; detail and nuance can be lost. Only the most
recent 10 messages are kept verbatim.
- As your only safeguard for secrets/PII. The vault scan is best-effort, and the
compressed history is injected into the **system** context position.
## How it works
Keeps the last 10 messages verbatim. Compresses everything older into a ~60-token
capsule (zlib deflate + a topic/Merkle summary). In benchmarks the agent still
answers 30/30 memory-recall questions correctly.
## Savings
| | Without | With |
| --------------------- | ------- | -------- |
| Tokens per call | 7,583 | 53 |
| Cost (Claude Sonnet) | $0.023 | $0.00016 |
| Monthly (50 calls/day)| ~$34 | ~$0.24 |
## Install
This skill is self-contained — no extra packages to install. Register it as your
context engine in `openclaw.json`:
```jsonc
{
"plugins": {
"slots": { "contextEngine": "context-capsule" }
}
}
```
Optional config (defaults shown):
```jsonc
{
"plugins": {
"entries": {
"context-capsule": { "minMessages": 20, "keepRecentMessages": 10 }
}
}
}
```
## Source
github.com/Parad0x-Labs/dna-x402/tree/main/packages/openclaw-context-capsule
The standalone library (`@parad0x_labs/context-capsule`) is published separately
on npm for non-OpenClaw use; this skill vendors only the two pure functions it
needs and does not depend on it at runtime.

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