# context-labs/HALO

Hierarchal Agent Loop Optimizer

Repository: https://github.com/context-labs/HALO
Canonical: https://ross.abutalabs.com/products/context-labs-halo
Language: TypeScript
License Family: other
Last push: 2026-08-19T09:21:10+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 90, longevity 9
- inputs: {"age_days": 134, "days_push": 14, "days_rel": 70, "gap_med": 0.5, "n_releases_24m": 9}
- flags: young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1149, forks 91 (observed 2026-08-28T04:03:46.114993+00:00)

## What it is
HALO (Hierarchical Agent Loop Optimizer) is a desktop application that imports LLM agent traces from sources like Langfuse, Arize, JSONL, or local agents and analyzes them to find failures, bottlenecks, and optimization opportunities. It uses RLM-based analysis over production traces to generate ranked reports with concrete recommendations for improving agent loops.

## Use cases
- analyze production agent traces for failures
- optimize LLM agent loops using real traces
- import Langfuse or Arize traces for analysis
- find latency and retry bottlenecks in agent sessions
- inspect agent tool calls and model responses
- generate reports ranking agent failure modes

## When to choose
- you run LLM agents in production and want trace-driven optimization
- you need to debug agent failures, latency, and expensive spans
- you want a desktop GUI for browsing and analyzing agent trace datasets

## When to avoid
- you need a headless CLI or library API rather than a desktop app
- your project has no agent traces to import
- you require a permissively-audited license - the repo shows no license file despite MIT badge claims

## Facets
- artifact type: application
- maturity: active
- function: agent-framework, monitoring, tracing, analytics, llm-training, prompt-engineering
- domain: large-language-models, developer-tools, analytics, monitoring
- platform: cross-platform
- tags: agent-optimization, trace-analysis, rlm, llm-observability, trace-import, langfuse, desktop-app, ai-agents, desktop, typescript

## Member repositories
- context-labs/HALO (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.114993+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:44.000499+00:00, confidence not recorded.
  - readme: https://github.com/context-labs/HALO (fetched 2026-08-28T04:03:46.114993+00:00, sha 7fe7c871d49e)
- Data as of 2026-08-30T08:39:29.467469+00:00.