head to head · open source
open-kritt vs pipelock
open-kritt has 2,413 GitHub stars, 408 forks, 7 open issues and last shipped 3 days ago. pipelock has 983 stars, 113 forks, 8 open issues and last shipped yesterday. open-kritt leads on adoption by 145% (2,413 vs 983 stars). open-kritt is written in JavaScript under AGPL-3.0; pipelock is written in Go under Apache-2.0. open-kritt has attracted 17% as many forks as stars, pipelock 11%. pipelock was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, ai-security), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| open-kritt | pipelock | |
|---|---|---|
| GitHub stars | ★ 2.4K | ★ 983 |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | JavaScript | Go |
| Last push | 2026-11-02 | 2026-11-04 |
| Forks | ⑂ 408 | ⑂ 113 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick open-kritt if
- You weight community size — 2.4K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick pipelock if
- You want the pipelock feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and pipelock fits your workflow better
About open-kritt
open·kritt Orchestrate AI agents to find real vulnerabilities in code. An open source, self hosted security and vulnerability research platform that turns focused AI analysis into de duplicated, ranked findings with configurable validation and enrichment. Website · Documentation · Getting started · Contributing · Owners · Research paper What is open·kritt? Pointing a model at an entire repository and asking it to find vulnerabilities rarely works well. open·kritt takes a focused approach: break the research into small, well defined tasks, run them across AI agents in parallel, and combine their output into…
read the full open-kritt overview →
About pipelock
Open source AI agent firewall for Verifiable Egress Control . Pipelock sits between AI agents and the network. It inspects mediated HTTP, WebSocket, MCP, and A2A traffic, plus CONNECT tunnel contents when TLS interception is enabled, for secret exfiltration, prompt injection, SSRF, tool poisoning, and risky tool call chains. Plain CONNECT without interception is scanned at the hostname and URL level. Configured MCP upstreams are an exception to private address SSRF blocking: local/private servers are allowed, but cloud metadata endpoints remain blocked. Pipelock emits mediator signed action receipts over content…
read the full pipelock overview →
More in AI & Machine Learning
Related comparisons
More AI Security & Privacy projects
Compare either of these against the rest of the AI Security & Privacy field.
Frequently asked questions
Is open-kritt or pipelock more popular?
open-kritt has 2,413 GitHub stars and pipelock has 983. open-kritt has the larger community by that measure.
Are open-kritt and pipelock free?
Both are open source. open-kritt is licensed under AGPL-3.0 and pipelock under Apache-2.0. Neither carries a licence fee.
What is the difference between open-kritt and pipelock?
open-kritt is written in JavaScript and pipelock in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, open-kritt or pipelock?
Choose open-kritt if you want the larger community (2,413 stars) or its AGPL-3.0 licence terms. Choose pipelock if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.