by quarqlabs · Agent Tool · ★ 249
Argus Agent Local memory. Hybrid retrieval. Self-correcting reasoning. Benchmark-grade recall. Argus Agent is a memory-first AI agent for long-context personal intelligence, grounded recall, temporal reasoning, quantitative reasoning, and tool use. It is designed as an open, inspectable alternative to memory agents such as Hermes or OpenClaw, with a stronger emphasis on durable local memory, strict attribution, self-correcting retrieval, and benchmark-grade long-term recall. The current local implementation keeps normal semantic, episodic, and procedural learning in .
| Stars | 249 |
| Forks | 24 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.6433882527314/100 |
| Last Updated | 2026-06-09 |
| Created | 2026-05-24 |
| Platforms | python |
| Est. Tokens | ~115k |
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argus is A recursive evidence-gated cognitive runtime for memory-native AI agents, combining hybrid retrieval, temporal reasoning, async learning, and plug-and-play tools.. It is categorized as a Agent Tool with 249 GitHub stars.
argus is primarily written in Python.
You can find installation instructions and usage details in the argus GitHub repository at github.com/quarqlabs/argus. The project has 249 stars and 24 forks, indicating an active community.
argus is released under the Apache-2.0 license, making it free to use and modify according to the license terms.