Hindsight explained: what an agent can keep between sessions
Hindsight source code: trace the Python client into the memory engine
Use a fixed revision to see where a convenience method ends and server behavior begins.
What you will learn
- Read the public client surface
- Find the server boundary
- Turn the trace into a reproducible note
Before you start
- Python client basics
- A synthetic memory test case and a deployment boundary
Create a small, auditable fixture that records corrections, retrieval misses and costs.
Key takeaways
- The client wrapper and engine are separate layers.
- A method signature is not a runtime measurement.
- Use a fixed commit for code-level claims.
Read the public client surface
The inspected hindsight_client.py defines a Hindsight wrapper with retain, recall and reflect methods. The wrapper accepts a bank_id and operation-specific input, then delegates to generated API objects. The client is a useful starting point for request shapes, but its method names do not prove that every server branch behaves identically.
Follow the arguments passed to each method, especially bank ID, content, query and optional limits. A caller that changes bank_id between retain and recall can look like a retrieval failure even though the two requests targeted separate stores.
Find the server boundary
The checked memory_engine.py contains retain and recall entry points, including asynchronous variants, and a reflect_async path. Those are implementation anchors for a code reading session. The file is large, so inspect a bounded call path and the associated tests before claiming a full audit.
The engine may invoke models, storage and background work. A successful client return should be interpreted using the operation contract and response fields, not as proof that every derived observation has finished refreshing.
Turn the trace into a reproducible note
Record the fixed commit, method signature, request input and response type. When a parameter is unclear, link to the exact source file rather than guessing from a newer README. The site citation points to the same revision as the captured files.
We inspected source text and did not instrument a running server. The recommended trace is a reader exercise; any latency, call count or database behavior needs a separate execution record.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Open the fixed client and locate retain, recall and reflect.
- 2
Follow one bank_id through the engine entry point.
- 3
Write down response fields and unresolved branches.
Copy-ready example
Hindsight.retain(bank_id, content)
-> client API request
-> MemoryEngine.retain_async(...)
-> storage and model work (inspect separately)Frequently asked questions
Where is reflect implemented?
The inspected engine includes reflect_async; trace its callers before assuming a synchronous server path.
Did this review profile database queries?
No. This is a bounded source inspection.
Sources
- Hindsight / hindsight-clients/python/hindsight_client/hindsight_client.pySource checked 2026-09-26
- Hindsight / hindsight-api-slim/hindsight_api/engine/memory_engine.pySource checked 2026-09-26