nanobot logo
nanobot
★ 49.3k
vs
trpc-agent-go logo
trpc-agent-go
★ 1.9k

nanobot vs trpc-agent-go

nanobot: nanobot is an ultra-lightweight, self-hosted personal AI agent framework built in Python, offering a readable core for multi-agent delegation and automation. It supports various interfaces including WebUI, terminal, and chat apps, integrating tools, long-term memory, and OpenAI-compatible APIs.; trpc-agent-go: tRPC-Agent-Go is a Go-native framework for production agent systems. It combines LLM agents, type-safe graph workflows (positioned as a LangGraph equivalent for Go), chain, parallel and cycle multi-agent patterns, function and MCP tools, session and memory state, knowledge retrieval, SKILL.md-based agent skills with self-evolution, evaluation sets, and OpenTelemetry/Langfuse observability, with A2A and AG-UI protocol integration.

01

TL;DR

nanobot logo
nanobotMulti-Agent · ★ 49.3k
When to choose:
  • You want a lightweight, hackable Python personal AI agent framework with clean code, a WebUI, and built-in MCP client support.
  • You prefer an easy-to-read, self-hosted agent core without the enterprise boilerplate of heavy agent frameworks.
When to skip:
  • You require production-grade distributed state checkpointing, strict Pydantic type validation, or multi-role team SOPs; Pydantic AI or CrewAI offer more mature infrastructure.
  • Your production stack is .NET or Go; Microsoft Agent Framework covers those runtimes.
trpc-agent-go logo
trpc-agent-goMulti-Agent · ★ 1.9k

Adding agents to existing Go microservices

02

Side-by-Side Comparison

Field
nanobot logonanobot
trpc-agent-go logotrpc-agent-go
Category
Multi-Agent
Multi-Agent
Stars
★ 49.3k
★ 1.9k
License
MIT
Apache-2.0
Install Command
curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh | sh
go get trpc.group/trpc-go/trpc-agent-go
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Self-hosted, Python
go, agent-framework, graph-workflow
03

Features

nanobot logonanobot
01Persistent workflows: goals, memory, tools, and chat context survive long-running work.
02Chat-native reach: WebUI, API, Telegram, Feishu, Slack, Discord, Teams, email, and Mattermost.
03Model freedom: OpenAI-compatible APIs, local LLMs, image generation, search, and fallbacks.
04Small core: readable internals with MCP, memory, deployment, and automation built in.
05Own your stack: inspect, customize, self-host, and extend without a giant platform.
trpc-agent-go logotrpc-agent-go
01GraphAgent: type-safe graph workflows with multi-conditional routing
02Chain, parallel and cycle agents for multi-agent collaboration
03Function tools, MCP tools, web search and code execution
04Session, memory, artifacts and knowledge retrieval as runner-level services
05Evaluation sets plus OpenTelemetry tracing and Langfuse examples
04

Use Cases

nanobot logonanobot
↳Running long-horizon goals and scheduled automations.
↳Connecting to various chat applications like Telegram, Discord, Slack for AI interaction.
↳Exposing a Python SDK and OpenAI-compatible API for custom integrations and development.
↳Deploying as a long-running local or server-side agent gateway.
trpc-agent-go logotrpc-agent-go
↳Adding agents to existing Go microservices
↳Customer support or data-analysis agents with persistent memory
↳Multi-step business workflows with human-in-the-loop and evaluation
05

Best For

nanobot logonanobot
Most PopularEssential
trpc-agent-go logotrpc-agent-go
—
FAQ

FAQ

What is the difference between nanobot and trpc-agent-go?
Both nanobot and trpc-agent-go are in the Multi-Agent category. nanobot has 49.3k stars, while trpc-agent-go has 1.9k stars.
Which is better, nanobot or trpc-agent-go?
The best choice depends on your use case. Choose nanobot if Running long-horizon goals and scheduled automations., and trpc-agent-go if Adding agents to existing Go microservices.
Is nanobot free or open source?
Yes, nanobot is open source on GitHub (MIT).
Is trpc-agent-go free or open source?
Yes, trpc-agent-go is open source on GitHub (Apache-2.0).
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