CoreTex vs Naja-scope

CoreTex and Naja-scope are both cli coding agents tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

CoreTex

Orbit pulls one dependency-ordered task at a time from your backlog, hands it to whichever coding agent you connect, then refuses to mark it done unless tests, lint, and type checks pass. Every run writes four JSON or markdown artifacts: what the agent returned, how the work scored against a rubric, a human-readable mission log, and a recommendation to accept, iterate, or stop. The agent-neutral contract means you can swap Claude for Codex behind the same harness and compare structured artifacts instead of vibes. The ceiling appears fast on large repos: Orbit is intentionally small, so teams needing parallel agent execution, complex branching between task types, or CI integration will find themselves extending the harness manually.

Naja-scope

naja-scope runs as an MCP server that lets an agent like Claude interrogate an elaborated SystemVerilog design through targeted queries — what drives this signal, what's inside this module, where does this net terminate — and returns exact file-and-line answers instead of requiring the full source in context. The agent asks; the tool answers precisely. It's built on the najaeda netlist engine and installs via pip. The ceiling appears fast: there's no hosted API, no GUI, and the query surface is scoped narrowly to signal tracing and hierarchy exploration. Teams needing schematic visualization or integration into EDA toolchains will be stitching naja-scope to other systems themselves.

Attribute	CoreTex	Naja-scope
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Python (macOS, Linux, Windows via WSL)	Python, pip
Pros	Validation gates block task advancement until tests and lint actually pass, so you never merge agent output that only claimed to work. Structured artifacts (agent-result.json, evaluation.json, review.json, progress.md) persist across sessions, which means long-running workflows have a durable audit trail rather than a chat history no one can reproduce. Agent-neutral JSON contract lets you swap Claude, Codex, Cursor, or any CLI-based agent behind the same harness, so comparing two agents produces structured rubric scores instead of anecdotes. Dependency-aware backlog selection keeps each orbit scoped to one task at a time, which means agents are not handed an ambiguous chunk of work that produces unverifiable, sprawling diffs. MIT licensed and self-hosted, so the audit trail lives on your infrastructure and there is no external service holding your agent execution history.	Query-driven design exploration rather than context-window dumps, so agents get precise file-and-line answers without burning tokens on thousands of RTL lines the model won't trace correctly anyway. Operates on the elaborated netlist via the najaeda engine, which means cross-hierarchy signal tracing returns structurally correct answers instead of guesses from partial source text. MCP-compatible server interface, so any agent that speaks MCP — including Claude — can connect without a custom integration layer being written by your team. Apache-2.0 licensed and self-hosted, which means your design IP never leaves your infrastructure and there's no vendor dependency for continued access. pip-installable with no build toolchain required, so a designer can add it to an existing Python environment without involving a DevOps team.
Cons	Orbit executes one orbit at a time in sequence — there is no built-in mechanism for running agents in parallel on separate tasks. Teams with high-volume backlogs hit this ceiling immediately and end up scripting their own concurrency layer, at which point they are maintaining two systems. There is no native CI integration described in the vendor documentation. Teams that want Orbit's validation gates to run automatically on pull requests must wire that connection themselves, which adds maintenance surface that defeats the 'intentionally small' design goal. Complex multi-step workflows with branching logic — where the next task depends on what the prior orbit returned beyond a simple pass/fail — have no built-in expression mechanism. Teams that need conditional routing between task types switch to a full agent orchestration framework and use Orbit's artifact format, if at all, as a reference model rather than a runtime.	The query surface covers signal tracing and hierarchy navigation only — teams that also need timing analysis, power domain queries, or constraint checking against the same design will find naja-scope answers one narrow set of questions and nothing adjacent, forcing a separate toolchain for everything else. No GUI or visual hierarchy browser exists; all interaction goes through the agent query interface, which means designers who want to explore a design spatially rather than by asking questions will hit a dead end immediately and need a different tool. The project has a small commit history and no documented third-party integrations or commercial support tier — teams with production uptime requirements on their AI-assisted design review flow are taking on an unmaintained-dependency risk that typically triggers a switch to a vendor-backed tool when the first blocking bug appears and a fix timeline is uncertain.

Bottom line

CoreTex and Naja-scope are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between CoreTex and Naja-scope?

CoreTex is Free and open source, while Naja-scope is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is CoreTex better than Naja-scope?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.