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EvergreenSLAM

CGitRank 59/100Recently maintained

Always-on 2D lidar SLAM with named places, as a spatial memory for LLM agents

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Stars
52

Forks
9

17.3% fork ratio

7-day growth
+2

Language
C++

License: Apache-2.0

Selection & positioning guide

Structured overview of delivery form, target scenarios, and licensing boundaries

Artificial Intelligence · MCP servers

Positioning & delivery

Categorized under Artificial Intelligence and delivered as MCP servers, covering AI agents workflows.

Stack & community signals

Built primarily with C++. Community scale is summarized in the metrics above; use the star history and commit activity below to judge the quality and durability of its growth.

License & maintenance check

Licensed under Apache-2.0 with status "Recently maintained". Verify dependency requirements and the upstream LICENSE before production adoption.

Star history & growth

Based on collected snapshots

52 ★51 observations
2026-08-172026-11-15
Inspect recent observations
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Project profile

Repository metadata & lifecycle signals

License
Apache-2.0
Delivery form
MCP servers
Latest release
2026-11-07
Last push
2026-11-07
Created
2026-08-09 (3 mos)
Fork / Star ratio
17.3%
Next Star milestone52 / 100 ★ (52%)

Get the source & start here

Cloning downloads source; follow official setup and dependency instructions.

git clone https://github.com/ThomasZB/EvergreenSLAM.git
READMEgithub.dev

After cloning, enter the project directory · cd EvergreenSLAM

GitRank Project Score

5-dimension model · 75% input coverage

C59 / 100

Watch

MaintenanceRecent push & release cadence
27 / 30
Delivery informationSetup docs, examples & prerequisites
13 / 25
Community signalsStar scale & fork participation
11 / 20
Recent growth7-day net gain & momentum
0 / 15
Usage informationDescription, license & homepage
8 / 10

Computed automatically from repository activity, documentation structure, community signals, and recent growth.

Frequently Asked Questions about EvergreenSLAM

Is ThomasZB/EvergreenSLAM still actively maintained in 2026?+

ThomasZB/EvergreenSLAM is currently rated "Recently maintained" with a GitRank engineering score of 59/100. Its latest recorded code push was on 2026-11-07, with the latest tagged release on 2026-11-07.

Can I use ThomasZB/EvergreenSLAM for commercial projects?+

Yes. ThomasZB/EvergreenSLAM uses the permissive Apache-2.0 open-source license, which generally permits commercial use, modification, private deployment, and distribution provided copyright notices are retained.

What are the best open-source alternatives to ThomasZB/EvergreenSLAM?+

Explore comparable C++ projects in the GitRank Artificial Intelligence leaderboard and software alternatives directory.

How fast is ThomasZB/EvergreenSLAM growing on GitHub?+

Net Star change over the past 7 days: +2 Stars.