8 Best loopgpt Alternatives in 2026 (Open Source)
loopgpt — Modular Auto-GPT Framework. vs Auto-GPT: proper Python package with full state serialization and GPT-3.5 optimization — save and resume agent sessions without external databases, works well without GPT-4
Short answer
- Closest match to loopgpt: Multi-GPT.
- Most actively developed: Agent (312 commits in the last 90 days).
- Fastest growing: langgraph (+99 GitHub stars in the last 30 days).
- No commit in 6+ months: Multi-GPT, OpenAGI, BeeBot and AI Legion.
These 8 open-source tools do the same job. They are ordered by how closely they match loopgpt, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| loopgpt(original) | 1.4k | -1 | 2026-07-03 |
| Multi-GPT | 565 | +1 | 2023-05-26 |
| Agent | 471 | +21 | 2026-09-27 |
| OpenAGI | 2.3k | +5 | 2024-11-28 |
| langgraph | 3.3k | +99 | 2026-09-30 |
| Chidori | 1.4k | +4 | 2026-08-30 |
| Agency Swarm | 4.6k | +74 | 2026-09-25 |
| BeeBot | 452 | 0 | 2023-10-22 |
| AI Legion | 1.4k | +1 | 2025-05-27 |
1. Multi-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
What sets it apart: vs AutoGPT (single-agent): multiple specialized GPT-4 agents with independent memory collaborating on tasks — early pioneer of multi-agent architecture
Best for: Experimenting with multi-agent AI collaboration patterns; Research on autonomous agent systems with shared memory
2. Agent
Create state-machine-powered LLM agents using XState
What sets it apart: It structures LLM agents around XState state machines.
Best for: Developers building LLM agents with explicit state-machine workflows
3. OpenAGI
OpenAGI: When LLM Meets Domain Experts
What sets it apart: Agent creation package for AIOS ecosystem enabling shareable, tool-equipped AI agents with upload/download marketplace functionality
Best for: building-agents-for-aios; sharing-custom-ai-agents; multi-tool-agent-development
4. langgraph
Framework to build resilient language agents as graphs.
What sets it apart: The JavaScript/TypeScript graph-based agent framework from LangChain with built-in persistence, streaming, and human-in-the-loop — vs simpler agent libs lacking state management and controllability
Best for: Building complex, stateful JS/TS agents with controllable workflows; Production agents needing persistence, streaming, and human-in-the-loop; Teams already in the LangChain ecosystem
5. Chidori
A reactive runtime for building durable AI agents
What sets it apart: vs LangGraph/CrewAI: reactive runtime with time-travel debugging and execution graph branching — enables pausing, rewinding, and exploring alternative agent paths that other orchestrators cannot do
Best for: AI agents requiring state management and execution debugging; Complex workflows needing time-travel and state branching; Development scenarios requiring rapid iteration and exploration
6. Agency Swarm
Reliable Multi-Agent Orchestration Framework
What sets it apart: Multi-agent framework modeling real-world organizational structures with directional communication flows — vs CrewAI (role-based but less control) or AutoGen (conversation-centric)
Best for: Building multi-agent systems modeled as organizational structures; Teams wanting full control over agent instructions and communication; Production multi-agent deployments with typed tools
7. BeeBot
An Autonomous AI Agent that works
What sets it apart: vs AutoGPT / AgentGPT: AutoPack-based tool selection architecture with emphasis on reliable tool description and discovery — prioritizes functionality over conventional development patterns
Best for: Research into autonomous agent tool selection patterns; Experimenting with AutoPack tool package ecosystem; Building agents with persistent state and event streaming
8. AI Legion
An LLM-powered autonomous agent platform
What sets it apart: Multi-agent platform where autonomous LLM agents with persistent memory collaborate through console interaction, learning from their own mistakes
Best for: multi-agent-experimentation; exploring-agent-self-organization; autonomous-task-delegation
FAQ
- What are the best alternatives to loopgpt?
- The closest open-source alternatives to loopgpt are Multi-GPT, Agent and OpenAGI, followed by langgraph, Chidori and Agency Swarm. They are ranked by how closely they match what loopgpt does.
- Which loopgpt alternative is the most popular?
- Agency Swarm has the most GitHub stars among loopgpt alternatives, with 4,587 stars.
- Which loopgpt alternative is the most actively maintained?
- By recent activity, Agent (312 commits in the last 90 days) is the most actively developed alternative.