# daveshap/ACE_Framework

ACE (Autonomous Cognitive Entities) - 100% local and open source autonomous agents

Repository: https://github.com/daveshap/ACE_Framework
Canonical: https://ross.abutalabs.com/products/ace_framework
Language: Python
License: MIT
License Family: permissive
Archived: true
Last push: 2024-03-17T22:02:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 77
- inputs: {"age_days": 1083, "days_push": 899, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1504, forks 213 (observed 2026-08-28T04:04:54.831215+00:00)

## What it is
ACE (Autonomous Cognitive Entities) is an open-source framework for building fully autonomous AI agents that run entirely on local hardware with no cloud dependencies. It provides a layered cognitive architecture for autonomous software, emphasizing model-agnostic, vendor-lock-in-free design.

## Use cases
- build autonomous agents that run locally without cloud APIs
- experiment with cognitive architectures for LLM agents
- avoid vendor lock-in when building AI agent systems
- run autonomous AI on my own hardware offline
- research framework for autonomous software design
- create task-constrained autonomous agents with open source models

## When to choose
- you need fully local, private agent execution with no cloud or SaaS
- you want a model-agnostic, open-source cognitive architecture to experiment with
- you're researching autonomous agent design principles

## When to avoid
- you need a production-ready, polished agent framework with strong support
- you rely on cloud LLM APIs like OpenAI or Anthropic
- you want turnkey autonomous agents rather than an experimental research framework

## Facets
- artifact type: framework
- maturity: experimental
- function: agent-framework, llm-inference, rag
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, windows, self-hosted
- tags: autonomous-agents, local-first, open-source, cognitive-architecture, offline-ai, ai-agents, linux, macos

## Member repositories
- daveshap/ACE_Framework (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:54.831215+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 2026-08-30T04:32:44.903094+00:00, confidence not recorded.
  - readme: https://github.com/daveshap/ACE_Framework (fetched 2026-08-28T04:04:54.831215+00:00, sha aab59285f38a)
- Data as of 2026-08-30T08:39:29.467469+00:00.