History

Nicolò Boschi 61bf428ba9 perf: fetch all recall chunks in a single query instead of batched while-loop (#475 ) Replace the multi-round-trip while-loop in step 5.5 of recall_async with a single WHERE chunk_id = ANY($1) query covering all candidate chunk IDs. Token-budget accounting happens in Python after the single fetch. Measured on a 97K-unit / 98M-link bank (budget=HIGH, include_chunks, include_entities): p50: 1.209s → 0.611s (−49%) mean: 1.534s → 0.772s (−50%) p95: 3.366s → 2.316s (−31%) Also update recall_perf.py benchmark to use Budget.HIGH, include_chunks, include_entities, and a realistic mixed fact_type distribution.		2026-03-03 14:52:48 +01:00
..
common	feat: batch observations consolidation (#430 )	2026-02-24 15:19:39 +01:00
consolidation	feat: consolidation performance benchmark and optimization (#227 )	2026-01-29 11:24:15 +01:00
locomo	fix: catch ValueError instead of bare except in date parsing (#438 )	2026-02-25 10:33:56 +01:00
longmemeval	chore: cleanup benchmarks runner with old flags (#212 )	2026-01-28 13:22:48 +01:00
perf	perf: fetch all recall chunks in a single query instead of batched while-loop (#475 )	2026-03-03 14:52:48 +01:00
visualizer	feat: add reflect mode to LoComo benchmark and improve reflect agent (#428 )	2026-02-24 09:48:23 +01:00
.DS_Store	rename to hindsight (#2 )	2025-11-25 19:28:26 +01:00
__init__.py	rename to hindsight (#2 )	2025-11-25 19:28:26 +01:00
README.md	fix: improve async batch retain with large payloads (#366 )	2026-02-16 12:51:42 +01:00

README.md

Hindsight Benchmarks

This directory contains benchmark suites for evaluating Hindsight's memory capabilities.

Prerequisites

Set up your environment variables in .env at the project root:
```
cp .env.example .env
# Edit .env with your API keys
```
Make sure you have uv installed.

Available Benchmarks

LoComo

Tests conversational memory with multi-turn dialogues.

# Run from project root
./scripts/benchmarks/run-locomo.sh

# With options
./scripts/benchmarks/run-locomo.sh --max-conversations 10
./scripts/benchmarks/run-locomo.sh --skip-ingestion  # Reuse existing data
./scripts/benchmarks/run-locomo.sh --use-think       # Use think API
./scripts/benchmarks/run-locomo.sh --conversation conv-26  # Single conversation

Options:

--max-conversations N - Limit number of conversations
--max-questions N - Limit questions per conversation
--skip-ingestion - Skip data ingestion, use existing
--use-think - Use think API instead of search + LLM
--conversation NAME - Run specific conversation only
--api-url URL - Custom API URL (default: local memory)
--only-failed - Retry only failed questions
--only-invalid - Retry only invalid questions

LongMemEval

Tests long-term memory across different categories.

# Run from project root
./scripts/benchmarks/run-longmemeval.sh

# With options
./scripts/benchmarks/run-longmemeval.sh --max-instances 50
./scripts/benchmarks/run-longmemeval.sh --category single-session-user
./scripts/benchmarks/run-longmemeval.sh --parallel 4  # Faster evaluation

Options:

--max-instances N - Limit total questions
--max-instances-per-category N - Limit per category
--skip-ingestion - Skip data ingestion
--category NAME - Filter by category:
- single-session-user
- multi-session
- single-session-preference
- temporal-reasoning
- knowledge-update
- single-session-assistant
--parallel N - Parallel instances (default: 1)
--only-failed - Retry failed questions
--fill - Resume interrupted runs

Consolidation Performance

Tests consolidation throughput and identifies bottlenecks.

./scripts/benchmarks/run-consolidation.sh

# With custom memory count
NUM_MEMORIES=200 ./scripts/benchmarks/run-consolidation.sh

Retain Performance

Measures retain operation performance (throughput and token usage).

Prerequisites: API server must be running (./scripts/dev/start-api.sh)

# Basic usage
./scripts/benchmarks/run-retain-perf.sh \
    --document hindsight-dev/benchmarks/perf/test_data/sample_document.txt

# Save results to JSON
./scripts/benchmarks/run-retain-perf.sh \
    --document ./my_document.txt \
    --bank-id my-test-bank \
    --output results/retain_perf.json

Options:

--document PATH - Document file to retain (required)
--bank-id ID - Bank ID to use (default: perf-test)
--context TEXT - Optional context
--api-url URL - API URL (default: http://localhost:8000)
--timeout SECONDS - Request timeout (default: 300)
--output PATH - Save results to JSON file

See perf/README.md for detailed documentation.

Visualizer

View benchmark results in a web UI:

./scripts/benchmarks/start-visualizer.sh
# Opens at http://localhost:8001

Results

Results are saved in JSON format in each benchmark's results/ directory.