What do you want to do?
4 use cases
-
Carry project conventions into every new coding session
Reuse build rules, test layout and service flags from past sessions instead of re-explaining them.
- Semantix
- Claude Code
- Software and DevOps
- Intermediate
View prompt
Using the Gnosil/semantix repo, install it, extract slices from <session.jsonl> into .semantix/project.db, then run semantix inject with a query describing <task>. Report the slices returned with their retrieval zone and source session. Verify that each returned slice names a session that exists in <session.jsonl>.
-
Measure how often memory reuse hits on your sessions
Run the replay gate on your own transcripts and report the hit rate to the v1.0 tracking issue.
- Semantix
- Software and DevOps
- Intermediate
View prompt
Using the Gnosil/semantix repo, extract slices from <session.jsonl> into a project named <project>, then run semantix verify for that project. Report the relevance result against the README's 70% gate and the dashboard output. Verify that the sessions you tested are the ones you extracted and that no transcript content is posted publicly.
-
Route an OpenAI-compatible client through the gateway
Change one base URL so an existing client gets Semantix caching with no code change.
- Semantix
- Software and DevOps
- Advanced
View prompt
Using the Gnosil/semantix repo, point <client> at semantix-gateway by changing only its base URL, then send <N> similar requests. Report the cache token counts returned by the provider for each request. Verify that the client code and request bodies were not changed except for the base URL.
-
Give a custom agent lookup and inject tools from Semantix
Register two tool schemas so a self-hosted agent can query and reuse Semantix memory.
- Semantix
- Software and DevOps
- Advanced
View prompt
Using the Gnosil/semantix repo, register the semantix_lookup and semantix_inject tool schemas from agent-skill/tools/ in <agent>. Run one task that should match an extracted session and report which slices the lookup returned. Verify that the agent still completes the task when the semantix binary is removed, since the README says the kernel fails open.
How to use Semantix
- Check you have what it needs: macOS or Linux on arm64 or amd64 for the one-line install; A model provider account and API key, set up on the first run of semantix; Go 1.26 or later only if you build from source.
- Open Gnosil/semantix on GitHub and read the README and license.
- Run
curl -fsSL https://raw.githubusercontent.com/Gnosil/semantix/main/agent-skill/scripts/install.sh | shto install Semantix and semantix-agent into ~/.local/bin. - Run
cd ~/your-projectto make the project folder the workspace. - Run
semantixto launch the coding agent and finish provider and API key setup on the first run. - Run
semantix extract --input session.jsonl --db .semantix/project.db --project demoon a finished session transcript.
These steps come from our top use case, Carry project conventions into every new coding session, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers who use AI coding agents on a recurring codebase and pay for repeated context, or who build their own agents and want a memory layer.
- Why it is hot
- LanguageGo
- Sourcegithub.com/Gnosil/semantix · Back to Hot repos
Requirements
- macOS or Linux on arm64 or amd64 for the one-line install
- A model provider account and API key, set up on the first run of semantix
- Go 1.26 or later only if you build from source
- A session transcript in JSONL format for the extract and verify steps
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Questions about Semantix
What is Semantix?
Semantix is a Go coding agent and memory kernel that stores reusable slices from past sessions and reduces repeated model calls through caching. It is an open-source project on GitHub: https://github.com/Gnosil/semantix.
Who is Semantix for?
Developers who use AI coding agents on a recurring codebase and pay for repeated context, or who build their own agents and want a memory layer.
What can I do with Semantix?
4 use cases so far, for example: Carry project conventions into every new coding session; Measure how often memory reuse hits on your sessions; Route an OpenAI-compatible client through the gateway. Each has steps and a copy-paste agent prompt.
What do I need to run Semantix?
macOS or Linux on arm64 or amd64 for the one-line install; A model provider account and API key, set up on the first run of semantix; Go 1.26 or later only if you build from source; A session transcript in JSONL format for the extract and verify steps.
What are alternatives to Semantix?
Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.
Is Semantix safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.