askimo
★ 534
vs
rllm
★ 5.9k
askimo vs rllm
askimo: Askimo is a native desktop app that puts OpenAI, Claude, Gemini, Grok and local Ollama models in one chat client. It adds local RAG over your files, MCP tools, a script runner and the ability to delegate goals to agent CLIs such as Claude Code and Codex.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.
01
TL;DR
askimoLLM Infra · ★ 534
When to choose:
- You want one native desktop client for cloud models and local Ollama or LM Studio models.
- You want to chat with local folders and files through RAG without uploading them.
- You want to send work to Claude Code, Codex or Antigravity from the same app.
When to skip:
- You need permissive licensing for embedding in a hosted product: the licence is AGPLv3.
- You only want a lightweight chat window; this app bundles RAG, Plans, scripts, MCP and voice.
- You want a headless server or a library rather than a desktop app.
rllmLLM Infra · ★ 5.9k
Training powerful coding models for tasks like code generation and bug fixing.
02
Side-by-Side Comparison
Field
askimorllmCategory
LLM Infra
LLM Infra
Stars
★ 534
★ 5.9k
License
AGPL-3.0
Apache-2.0
Install Command
—
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
ai, chat-client, rag
Reinforcement Learning, Language Agents, LLM
03
Features
askimo01Multi-provider chat: OpenAI, Claude, Gemini, Grok, Ollama, LM Studio, OpenRouter, vLLM and any OpenAI-compatible endpoint
02Local RAG over folders, files and web URLs with hybrid BM25 and vector retrieval
03MCP tool integration over stdio or HTTP
04Delegate goals to Claude Code, Codex or Antigravity, with reusable skills shared across agents
05Multi-step Plans, a Python/Bash/JavaScript script runner and local speech-to-text and text-to-speech
rllm01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
04
Use Cases
askimo↳Use one desktop client for several cloud and local models instead of juggling browser tabs
↳Search and chat with private local documents without uploading them
↳Hand a coding task to an agent CLI and watch its streamed tool calls
rllm↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
05
Best For
askimoHidden Gem
rllmTrending
FAQ
FAQ
What is the difference between askimo and rllm?
Both askimo and rllm are in the LLM Infra category. askimo has 534 stars, while rllm has 5.9k stars.
Which is better, askimo or rllm?
The best choice depends on your use case. Choose askimo if Use one desktop client for several cloud and local models instead of juggling browser tabs, and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is askimo free or open source?
Yes, askimo is open source on GitHub (AGPL-3.0).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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