HelloAgents

Modular Python agent framework with a tool-calling loop, context management, retrieval, persistent memory and MCP tools.

Harness by jjyaoao

IndexedOther★ 3,290

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About

HelloAgents is a Python framework built on native function calling. SimpleAgent runs a loop of model request, tool execution and follow-up call, and context management, retrieval (RAG and GraphRAG), memory and sub-agents can be added or used on their own. The README lists streaming output, run tracing, Skills, MCP tool access and background tasks. It has adapters for OpenAI-compatible endpoints, Anthropic and Gemini, selected from the base URL.

Use cases: agent-orchestration, knowledge-base, agent-memory

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Fact sheet

Languages: PythonREADME
Multi-agent: YesREADME
MCP support: Built inREADME
Agent Skills support: Built inREADME
Streaming: YesREADME
Memory: short-term, long-termREADME
Model providers: openai, anthropic, google, deepseek, ollamaREADME
Maturity: StableREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Signals

Stars: 3,290
Forks: 743
Open issues: 25
Last commit: Oct 6, 2026 (24 days ago)
Last release: Oct 6, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Other
Repository: github.com/jjyaoao/HelloAgents
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Cite this page

HelloAgents. Agent Mart. https://agentmart.dev/harnesses/helloagents (last updated 2026-10-24)