--- title: "agentos vs BlockAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-orgexyz-blockagi" tools: ["framerslab-agentos", "orgexyz-blockagi"] --- # agentos vs BlockAGI *GraphCanon updated Aug 23, 2026* ## Verdict Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick BlockAGI if self-hosted AI research agent with Python hackability. [agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. [BlockAGI](https://github.com/orgexyz/BlockAGI) has 322 stars, 52 forks, and 9 open issues, last pushed Nov 19, 2023. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [BlockAGI's repository](https://github.com/orgexyz/BlockAGI). | | [agentos](/tools/framerslab-agentos.md) | [BlockAGI](/tools/orgexyz-blockagi.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | Self-Hosted, Hackable Research Agent Inspired by AutoGPT | | Stars | 617 | 322 | | Forks | 92 | 52 | | Open issues | 10 | 9 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | Self-hosted AI research agent with Python hackability | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [BlockAGI](/tools/orgexyz-blockagi.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 15d | 999d | | Open issues (now) | 10 | 9 | | Stars delta | +16 (30d) | +2 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/orgexyz-blockagi/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Decision facts: BlockAGI - **Adopt for:** Self-hosted AI research agent with Python hackability ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; BlockAGI is Python. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ### Choose BlockAGI if… - BlockAGI is primarily Python; agentos is TypeScript. - Tags unique to BlockAGI: ai, autogpt, babyagi, gpt-4. - Need for customizable, self-hosted AI-driven tasks inspired by AutoGPT. ## When NOT to use agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## When NOT to use BlockAGI - Requires advanced Python skills and familiarity with Poetry for setup. - Doesn't include pre-built task modules; extensive customization effort needed. ## Common questions ### What is the difference between agentos and BlockAGI? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. BlockAGI: Self-Hosted, Hackable Research Agent Inspired by AutoGPT. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentos over BlockAGI? Choose agentos over BlockAGI when agentos is primarily TypeScript; BlockAGI is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### When should I choose BlockAGI over agentos? Choose BlockAGI over agentos when BlockAGI is primarily Python; agentos is TypeScript; Tags unique to BlockAGI: ai, autogpt, babyagi, gpt-4; Need for customizable, self-hosted AI-driven tasks inspired by AutoGPT. ### When should I avoid agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### When should I avoid BlockAGI? Requires advanced Python skills and familiarity with Poetry for setup. Doesn't include pre-built task modules; extensive customization effort needed. ### Is agentos or BlockAGI more popular on GitHub? agentos has more GitHub stars (617 vs 322). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and BlockAGI open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, BlockAGI: Apache-2.0). ### Where can I find alternatives to agentos or BlockAGI? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [BlockAGI alternatives](/tools/orgexyz-blockagi/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/alternatives.md), [BlockAGI markdown twin](/tools/orgexyz-blockagi/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/framerslab-agentos-vs-orgexyz-blockagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or BlockAGI? agentos: Active. BlockAGI: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentos and BlockAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [BlockAGI trust report](/tools/orgexyz-blockagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_