chore: import upstream snapshot with attribution

examples/python/README.md

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+# Python usage via `iii-sdk`
+
+agentmemory registers its core operations as iii functions (`mem::remember`,
+`mem::observe`, `mem::context`, `mem::smart-search`, `mem::forget`). Any
+language with an iii SDK can call them directly over the WebSocket transport
+on `ws://localhost:49134` — no separate REST client needed.
+
+This example uses the official Python SDK.
+
+## Install
+
+```bash
+pip install iii-sdk
+```
+
+## Quickstart
+
+Start the agentmemory daemon (defaults to `ws://localhost:49134`, REST on
+`:3111`):
+
+```bash
+npx -y @agentmemory/agentmemory
+```
+
+Then from Python:
+
+```python
+from iii import register_worker
+
+iii = register_worker("ws://localhost:49134")
+iii.connect()
+
+iii.trigger({
+    "function_id": "mem::remember",
+    "payload": {
+        "project": "demo",
+        "title": "auth-stack",
+        "content": "Service uses HMAC bearer tokens; refresh every 24h.",
+        "concepts": ["auth", "hmac", "refresh"],
+    },
+})
+
+hits = iii.trigger({
+    "function_id": "mem::smart-search",
+    "payload": {"project": "demo", "query": "how do tokens refresh", "limit": 5},
+})
+print(hits)
+```
+
+## Functions exposed
+
+| Function id | Purpose | Required payload |
+|---|---|---|
+| `mem::remember` | Save a memory | `project`, `title`, `content` |
+| `mem::observe` | Hook-driven observation ingest | `hookType`, `sessionId`, `project`, `cwd`, `timestamp` |
+| `mem::context` | Render context for a session under a token budget | `sessionId`, `project`, optional `budget` |
+| `mem::smart-search` | Hybrid BM25 + vector + concept recall | `project`, `query`, optional `limit` |
+| `mem::forget` | Delete a memory by id | `id` |
+
+The HTTP-trigger wrappers under `api::*` (callable via REST on `:3111`) exist
+for the same operations if you need to reach the daemon from a host without an
+iii runtime. Inside the iii ecosystem, calling the `mem::*` functions directly
+is lower latency.
+
+## Files
+
+- `quickstart.py` — minimal save-then-search loop.
+- `observe_and_recall.py` — observation ingest + context rendering at a token
+  budget.
+
+Both scripts assume the daemon is already running.

examples/python/observe_and_recall.py

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+"""Observation ingest + context rendering at a token budget.
+
+Pattern: send hook-style observations during a coding session, then ask
+agentmemory to render the most relevant context back at a fixed token budget.
+
+Prerequisites:
+    pip install iii-sdk
+    npx -y @agentmemory/agentmemory
+
+Run:
+    python examples/python/observe_and_recall.py
+"""
+
+from datetime import datetime, timezone
+from iii import register_worker
+
+
+SESSION_ID = "py-example-session-001"
+PROJECT = "demo"
+
+
+def now_iso() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def main() -> None:
+    iii = register_worker("ws://localhost:49134")
+    iii.connect()
+
+    observations = [
+        ("PreToolUse", {"tool": "Bash", "command": "cargo test"}),
+        ("PostToolUse", {"tool": "Bash", "exit_code": 0}),
+        ("UserPromptSubmit", {"prompt": "refactor auth middleware to use HMAC"}),
+    ]
+
+    for hook_type, data in observations:
+        iii.trigger(
+            {
+                "function_id": "mem::observe",
+                "payload": {
+                    "hookType": hook_type,
+                    "sessionId": SESSION_ID,
+                    "project": PROJECT,
+                    "cwd": "/home/user/service",
+                    "timestamp": now_iso(),
+                    "data": data,
+                },
+            }
+        )
+
+    context = iii.trigger(
+        {
+            "function_id": "mem::context",
+            "payload": {
+                "sessionId": SESSION_ID,
+                "project": PROJECT,
+                "budget": 2000,
+            },
+        }
+    )
+
+    print(f"Rendered context ({context.get('token_count', 0)} tokens):\n")
+    print(context.get("text", ""))
+
+
+if __name__ == "__main__":
+    main()

examples/python/quickstart.py

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+"""Minimal agentmemory usage via iii-sdk.
+
+Prerequisites:
+    pip install iii-sdk
+    npx -y @agentmemory/agentmemory  # daemon at ws://localhost:49134
+
+Run:
+    python examples/python/quickstart.py
+"""
+
+from iii import register_worker
+
+
+def main() -> None:
+    iii = register_worker("ws://localhost:49134")
+    iii.connect()
+
+    iii.trigger(
+        {
+            "function_id": "mem::remember",
+            "payload": {
+                "project": "demo",
+                "title": "auth-stack",
+                "content": "Service uses HMAC bearer tokens; refresh every 24h.",
+                "concepts": ["auth", "hmac", "refresh"],
+            },
+        }
+    )
+
+    hits = iii.trigger(
+        {
+            "function_id": "mem::smart-search",
+            "payload": {
+                "project": "demo",
+                "query": "how do tokens refresh",
+                "limit": 5,
+            },
+        }
+    )
+
+    for memory in hits.get("results", []):
+        print(f"[{memory.get('score', 0):.3f}] {memory.get('title')}: {memory.get('content')}")
+
+
+if __name__ == "__main__":
+    main()