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Connect OpenClaw to Aionis using write/context/policy/feedback memory loop APIs.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cognary/aionis打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Use this skill when the user asks for long-term memory, retrieval with citations, tool routing from memory rules, or feedback-driven policy adaptation.
Environment variables:
AIONIS_BASE_URL:
http://127.0.0.1:3001
http://host.docker.internal:3001
AIONIS_API_KEY
AIONIS_AUTH_BEARER
AIONIS_TENANT_ID (default: default)AIONIS_SCOPE_PREFIX (default: clawbot)clawbot:<project>./v1/memory/context/assemble is unavailable, fallback to /v1/memory/recall_text and continue.Before running the memory loop, ensure Aionis standalone is reachable:
GET /health returns 200.POST /v1/memory/write with x-api-key returns 200.If local standalone is not running, execute:
bash ./bootstrap-local-standalone.sh
Then load runtime env:
source ./.runtime/clawbot.env
POST /v1/memory/write
POST /v1/memory/context/assemble
POST /v1/memory/recall_text if assemble endpoint is unavailablePOST /v1/memory/tools/select
POST /v1/memory/tools/feedback
Use these templates (replace placeholders):
{
"tenant_id": "default",
"scope": "clawbot:demo-project",
"input_text": "Customer prefers email follow-up",
"auto_embed": true,
"nodes": [
{
"client_i...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
This folder is a publish-ready OpenClaw skill package.
SKILL.md - skill definition and runtime guidance.AIONIS_ENV_TEMPLATE.txt - local standalone defaults.bootstrap-local-standalone.sh - one-click local install/start script.One-click bootstrap:
bash ./bootstrap-local-standalone.sh
The script creates:
.runtime/aionis.env for container runtime.runtime/clawbot.env for Clawbot skill variablesManual start (equivalent):
docker run -d --name aionis-standalone-local --restart unless-stopped \
-p 127.0.0.1:3001:3001 \
--env-file ./.runtime/aionis.env \
-v aionis-standalone-data:/var/lib/postgresql/data \
ghcr.io/cognary/aionis:standalone-v0.2.5
Health check:
curl -fsS http://127.0.0.1:3001/health
Auth check (x-api-key):
curl -sS http://127.0.0.1:3001/v1/memory/write \
-H 'content-type: application/json' \
-H 'x-api-key: YOUR_MEMORY_API_KEY' \
-d '{"tenant_id":"default","scope":"default","input_text":"clawbot local standalone test"}'
npm i -g clawhub
clawhub login
clawhub whoami
clawhub publish . \
--slug aionis-memory-policy-loop \
--name "Aionis Memory Policy Loop" \
--version 1.0.0 \
--changelog "Initial release" \
--tags latest
clawhub publish . \
--slug aionis-memory-policy-loop \
--name "Aionis Memory Policy Loop" \
--version 1.0.1 \
--changelog "Fix prompt and examples" \
--tags latest
# Aionis Memory Policy Loop Skill
Use this skill when the user asks for long-term memory, retrieval with citations, tool routing from memory rules, or feedback-driven policy adaptation.
## Requirements (Local Standalone)
Environment variables:
1. `AIONIS_BASE_URL`:
- host run: `http://127.0.0.1:3001`
- container-to-host run: `http://host.docker.internal:3001`
2. One auth method:
- `AIONIS_API_KEY`
- or `AIONIS_AUTH_BEARER`
3. Optional:
- `AIONIS_TENANT_ID` (default: `default`)
- `AIONIS_SCOPE_PREFIX` (default: `clawbot`)
## Safety Rules
1. Never print full secrets in responses.
2. Keep scope fixed per project: `clawbot:<project>`.
3. Do not write raw tool output dumps into memory; store concise summaries.
4. Keep requests bounded: set limits for recall and context assembly.
5. If `/v1/memory/context/assemble` is unavailable, fallback to `/v1/memory/recall_text` and continue.
## Connectivity Precheck
Before running the memory loop, ensure Aionis standalone is reachable:
1. `GET /health` returns `200`.
2. `POST /v1/memory/write` with `x-api-key` returns `200`.
3. If check fails, stop and return a clear connectivity/auth error.
## Auto Bootstrap Command
If local standalone is not running, execute:
```bash
bash ./bootstrap-local-standalone.sh
```
Then load runtime env:
```bash
source ./.runtime/clawbot.env
```
## Default Workflow
1. Ingest key facts/results:
- `POST /v1/memory/write`
2. Build layered context before planning:
- `POST /v1/memory/context/assemble`
- fallback to `POST /v1/memory/recall_text` if assemble endpoint is unavailable
3. Route tools with policy:
- `POST /v1/memory/tools/select`
4. Close the loop after execution:
- `POST /v1/memory/tools/feedback`
## Request Templates
Use these templates (replace placeholders):
### write
```json
{
"tenant_id": "default",
"scope": "clawbot:demo-project",
"input_text": "Customer prefers email follow-up",
"auto_embed": true,
"nodes": [
{
"client_i...# ClawHub Publish Notes
This folder is a publish-ready OpenClaw skill package.
## Contents
1. `SKILL.md` - skill definition and runtime guidance.
2. `AIONIS_ENV_TEMPLATE.txt` - local standalone defaults.
3. `bootstrap-local-standalone.sh` - one-click local install/start script.
## Local Standalone First (Required)
One-click bootstrap:
```bash
bash ./bootstrap-local-standalone.sh
```
The script creates:
1. `.runtime/aionis.env` for container runtime
2. `.runtime/clawbot.env` for Clawbot skill variables
Manual start (equivalent):
```bash
docker run -d --name aionis-standalone-local --restart unless-stopped \
-p 127.0.0.1:3001:3001 \
--env-file ./.runtime/aionis.env \
-v aionis-standalone-data:/var/lib/postgresql/data \
ghcr.io/cognary/aionis:standalone-v0.2.5
```
Health check:
```bash
curl -fsS http://127.0.0.1:3001/health
```
Auth check (`x-api-key`):
```bash
curl -sS http://127.0.0.1:3001/v1/memory/write \
-H 'content-type: application/json' \
-H 'x-api-key: YOUR_MEMORY_API_KEY' \
-d '{"tenant_id":"default","scope":"default","input_text":"clawbot local standalone test"}'
```
## Publish
```bash
npm i -g clawhub
clawhub login
clawhub whoami
clawhub publish . \
--slug aionis-memory-policy-loop \
--name "Aionis Memory Policy Loop" \
--version 1.0.0 \
--changelog "Initial release" \
--tags latest
```
## Update
```bash
clawhub publish . \
--slug aionis-memory-policy-loop \
--name "Aionis Memory Policy Loop" \
--version 1.0.1 \
--changelog "Fix prompt and examples" \
--tags latest
```Search and hire real humans for tasks — photography, delivery, research, and more
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