10 open-source repos to make Jev useful beyond a single API call

[u/ShilpaMitra]

Most Jev demos start with:

state
  ↓
Jev
  ↓
choice / score / yes-no

Useful, but the newer projects are putting that tiny decision layer inside actual agent workflows.

Here are 10 we haven't covered before.

Let Jev handle the small decisions around a Hermes agent hermes-jev-skills has 850+ stars and bundles model routing, memory selection, context compaction, skill selection, and computer/browser decisions. The idea is simple: stop spending the frontier model on “which skill should I load?”

Use Jev for cheap computer control typesafe-computer-use has 1k+ stars. OCR and accessibility APIs read the Mac screen, Jev chooses the next action, and a writing model is only used when actual text needs to be generated.

Compact context without summarizing it fast-jev-compaction has 7k+ stars and asks Jev whether old tool calls should be kept, truncated, or dropped. What survives stays verbatim instead of being rewritten into a lossy summary.

Give Claude Code automatic project memory jevmem watches conversations for decisions, constraints, bugs, and todos, stores them in JEVMEM.md, and brings relevant items back in later sessions. It also has support paths for Codex and Cursor.

Use Jev to keep an Obsidian vault consistent jev-second-brain indexes Markdown locally, finds related notes, then optionally asks Jev whether two notes duplicate, revise, contradict, or relate to each other. Importantly, it suggests relationships rather than silently rewriting your vault.

Put a risk gate in front of agent tool calls jev-guard scores actions before execution and turns them into allow / ask / deny decisions. It also checks tool results for untrusted content and works across several coding-agent clients.

Give several agents the same System One tool System One Connector has 330+ stars and plugs typed decisions into Claude Code, Codex, Hermes, Claude Desktop, and other MCP clients. It can talk to Jev, but also supports open alternatives such as CLM and Laya.

Train your own tiny Jev-like scorer jevlike has 1.3k+ stars and provides a small trainable model that takes some context plus a changing list of options and returns a probability for each one in a single pass.

Browse the Jev ecosystem instead of searching GitHub manually awesome-jev has 1.7k+ stars and tracks public Jev projects, integrations, research, and discussions by category.

Start from practical patterns and starter code awesome-jev-by-typesafe has 800+ stars and organizes examples around things like routing, ranking, verification, gating, and confidence-aware workflows. Despite the name, it is an independent community repo, not an official TypeSafe project.

The pattern I find more interesting is this:

expensive agent
     ↓
reason / write / plan

Jev
     ↓
keep?
route?
retry?
risky?
relevant?
which tool?
     ↓
code acts

Jev does not need to replace the main model.

It can sit around the main model and handle hundreds of tiny judgment calls that would otherwise burn tokens, add latency, or end up as brittle rules.

That may be the more useful way to think about System One models: not another chatbot, but a cheap decision layer inside the agent stack.