kanerva@0.6.1
VERIFIED· not startedPublisher claims: "Enables coding agents to store and retrieve long-term project memory in a local SQLite database, with no LLM calls and a hard token budget, so they can recall decisions, commands, and fixes across sessions while injecting only the context needed for the current step." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Not started: dependency install failed; the server itself was not observed.- Tested
- the dependency install step · every file read, file written and host contacted by what ran
- Not tested
- server startup · the tool list · tool behavior
What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
- It will ask for
- no credential variables read in the code
- Where it talks to
- no vendor host named in the codeAlso githubusercontent.com, huggingface.co — not the publisher's domain; check what for before connecting.
- What the honeypot saw
- no credential files read · no network
- What we could not test
- server startup · the tool list · tool behavior
Connect it under the guard. Not started: dependency install failed; the server itself was not observed. The code names no credential variable; the guard pins the network to what the honeypot saw and logs every call.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-11 and scored it 89/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 2 scenarios · 0 deviationsStatic findings
subprocess.Popen(command, start_new_session=True, stdin=subprocess.DEVNULL, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.… stays readable and editable with `kanerva list`, `kanerva show <id>`, `kanerva edit <id> "..."`, `kanerva forget <id>` and `kanerva export memory.md`. ## How it works <p align="center"> <img src="docs/assets/how-it-works.png…Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.out = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.…434\u0435 \u0434\u0430 \u0434\u0430\u0436\u0435 \u0434\u043b\u044f \u0434\u043e \u0434\u0440\u0443\u0433\u0430\u044f \u0434\u0440\u0443\u0433\u0438\u0435 \u0434\u0440\u0443\u0433\u0438\u043c \u043…Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.subprocess.run([sys.executable, str(ROOT / "scripts" / "make_macros.py")], check=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.