8 Best RestGPT Alternatives in 2026 (Open Source)
RestGPT — An LLM-based autonomous agent controlling real-world applications via RESTful APIs. vs basic API wrappers: iterative coarse-to-fine planning combining high-level task decomposition with fine-grained API selection — addresses practical challenges of multi-step API orchestration
Short answer
- Closest match to RestGPT: workgpt.
- Most actively developed: Composio (1,246 commits in the last 90 days).
- Fastest growing: Composio (+453 GitHub stars in the last 30 days).
- No commit in 6+ months: workgpt, Agentflow, Open Assistant API and FastAgency and 2 more.
These 8 open-source tools do the same job. They are ordered by how closely they match RestGPT, with live GitHub data so you can see which projects are actively maintained.
By package downloads Composio is the most used here (5.5M in the last 30 days), and it also has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| RestGPT(original) | 1.4k | +1 | 2023-09-28 | — |
| workgpt | 731 | 0 | 2023-06-23 | — |
| Composio | 30.4k | +453 | 2026-10-02 | 5.5M |
| Agentflow | 321 | 0 | 2023-08-11 | — |
| Open Assistant API | 367 | +1 | 2024-12-14 | — |
| FastAgency | 548 | +3 | 2025-12-09 | 396 |
| TaskWeaver | 6.2k | +6 | 2026-03-23 | — |
| XAgent | 8.6k | +5 | 2026-07-31 | — |
| AutoAct | 239 | 0 | 2025-01-13 | — |
1. workgpt
A GPT agent framework for invoking APIs
What sets it apart: vs LangChain / AutoGPT: TypeScript-native agent framework with first-class OpenAPI integration — any API with an OpenAPI spec becomes an LLM tool automatically, with built-in web browsing and structured output extraction
Best for: Automating multi-API workflows from natural language directives; Web scraping and structured data extraction with LLM intelligence; TypeScript developers wanting an agent framework with OpenAPI-first design
2. Composio
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
What sets it apart: 500+ pre-built app integrations with managed auth — vs LangChain tools which require manual API setup per service
Best for: Building AI agents that need to interact with SaaS tools; Rapid prototyping of agent workflows with external integrations
3. Agentflow
Complex LLM Workflows from Simple JSON.
What sets it apart: vs AutoGPT / LangChain agents: deterministic step-by-step workflow execution from JSON definitions — balanced between chat flexibility and autonomous agent unpredictability, with custom function support
Best for: Developers wanting structured, repeatable LLM workflows vs. freeform chat; Multi-step content generation pipelines (e.g., market research → analysis → report); Teams needing predictable LLM execution with human-readable workflow definitions
4. Open Assistant API
Open-source, self-hosted AI assistant API compatible with OpenAI and supporting LLMs, RAG, and tools
What sets it apart: Open-source OpenAI Assistant API compatible service supporting multiple LLMs via One API, with RAG, web search, and local deployment
Best for: self-hosted-openai-assistant-alternative; multi-llm-assistant-apps; enterprise-local-deployment
5. FastAgency
The fastest way to bring multi-agent workflows to production.
What sets it apart: vs raw AutoGen/AG2: production deployment framework with unified interface, built-in testing, and FastAPI/NATS.io adapters for scaling agent workflows
Best for: Teams deploying AG2/AutoGen workflows to production; Projects needing unified console + web interfaces for agent workflows
6. TaskWeaver
The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
What sets it apart: Unlike text-only agent frameworks like AutoGen, TaskWeaver preserves full code execution state and in-memory data across turns, enabling seamless multi-step data analytics that manipulate DataFrames and complex structures directly
Best for: Data scientists needing automated multi-step analytics pipelines with code generation; Teams building AI agents that must handle complex data structures like DataFrames natively
7. XAgent
An Autonomous LLM Agent for Complex Task Solving
What sets it apart: vs AutoGPT: dual-loop mechanism with human-agent collaboration and active help-seeking — demonstrated superiority over AutoGPT in human preference evaluation across 50+ real-world tasks
Best for: Complex multi-step tasks: data analysis, coding, research, reports; Tasks requiring human-AI collaboration with approval gates; Autonomous problem-solving with tool-use capabilities
8. AutoAct
[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
What sets it apart: vs ReAct/Reflexion/BOLAA: division-of-labor strategy automatically creates specialized Plan/Tool/Reflect sub-agents from self-synthesized trajectories — zero dependency on closed-source model data or human annotations
Best for: Research on automatic agent learning without GPT-4 dependency; Multi-hop QA requiring complex question decomposition; Teams wanting to train specialized sub-agents from self-generated data
FAQ
- What are the best alternatives to RestGPT?
- The closest open-source alternatives to RestGPT are workgpt, Composio and Agentflow, followed by Open Assistant API, FastAgency and TaskWeaver. They are ranked by how closely they match what RestGPT does.
- Which RestGPT alternative is the most popular?
- Composio has the most GitHub stars among RestGPT alternatives, with 30,413 stars.
- Which RestGPT alternative is the most actively maintained?
- By recent activity, Composio (1,246 commits in the last 90 days) is the most actively developed alternative.
Maintain RestGPT or one of these alternatives?
Each tool page has a maintainer box: a README badge with your live rank and stars, or a homepage + category feature for $49 / 7 days.
RestGPT · workgpt · Composio · Agentflow · Open Assistant API · FastAgency