thirdlayerinc/autoagent
Some data may be outdated — see provenance labels.
autonomous harness engineering observed · 2026-10-01
Health v2 · maintenance only
45/100
- Activity 67
- Release rhythm 35
- Longevity 14
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 201
- days_rel: n/a
- days_push: 200
- n_releases_24m: 0
Adoption not part of the score
4575 stars · 499 forks observed · 2026-10-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
AutoAgent is a Python-based meta-agent harness that autonomously builds and iterates on AI agent harnesses. It edits an agent's system prompt, tools, configuration, and orchestration, runs benchmark evaluations via Harbor, and hill-climbs on the benchmark score without human intervention.
Use cases
- automatically improve an AI agent's benchmark score overnight
- let an LLM meta-agent iterate on agent prompts and tool definitions
- run autonomous agent engineering loops against Harbor-format tasks
- optimize agent orchestration and routing without manual coding
- evaluate and hill-climb agent harnesses on task suites
- bootstrap self-configuring agents from a markdown directive
When to choose
- you want an AI to autonomously optimize an agent harness against a scored benchmark
- you already use Harbor-format evaluation tasks and Docker
- you prefer editing a single program.md directive instead of harness code
- you're experimenting with self-improving or self-configuring agent systems
When to avoid
- you need a production-ready agent framework with a stable API and support
- you have no benchmark tasks or scoring metric to hill-climb on
- you can't provide Docker and LLM provider credentials
- you need a permissively licensed project - it currently has no license
Facets
framework · maturity active
agent-framework llm-training benchmarking machine-learning developer-tools large-language-models artificial-intelligence developer-tools python cross-platform meta-agent autonomous-agents harness-engineering hill-climbing self-improving-agents agent-optimization harbor llm-benchmarking ai-agents automation docker linux macos
1 source
- readme: https://github.com/thirdlayerinc/autoagent · fetched 2026-10-01 · 3af589500da0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| thirdlayerinc/autoagent | main | 45 |
For agents
markdown · JSON · MCP: product_card(name="thirdlayerinc/autoagent")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem