Mythos Router is live · free plan; paid price not published · last verified 24 Oct 2026 · viability monitor
Mythos Router
Mythos Router is a local MIT-licensed CLI that checks AI coding agent file edits against your actual filesystem before accepting them.
If AI agents touch your repo and you can't prove what they changed, Mythos Router is worth the install — the Strict Write Discipline boundary and local SQLite receipts give you a real audit trail, not a model's word. The `mythos mcp` path is where it earns its keep for teams: external agents route through it and you get dry-runs, verified applies, rollback, receipts, and skill inspection without a Mythos model call. The tradeoff is real: CLI-only, Node.js and SQLite required, and if you want chat/run you supply a provider key. Reach for it when accountability matters more than a chat window.
Verdict generatedVerified 5d ago · liveness 65/100 · cite: rightaichoice.com/tools/mythos-router
- Developers using AI coding agents who need proof of every file edit
- Teams enforcing review standards with repo-local SKILL.md rules and local receipts
- Regulated or audit-heavy environments that must show what AI changed and why
- MCP clients and external agents wanting a local verified file-edit boundary
- Non-technical users wanting a GUI or web console — Mythos is CLI-only and needs Node.js plus SQLite locally
- Teams that want a cloud-hosted or managed agent service rather than a self-hosted CLI
- Anyone treating it as a multi-model chat front end — it's a verification layer first
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Skip Mythos Router if you want a browser-based AI coding agent with a GUI, or if you can't run a local Node.js, SQLite, and git stack and supply your own model provider key for chat and run.
Chat and run calls bill against your own provider key, so model spend shows up on your Anthropic (or other provider) invoice, not Mythos's — the CLI only estimates it (the homepage example is about $0.0241 for a
The MIT-licensed CLI is free to install via `npm install -g mythos-router`, which puts it below paid verified-execution and agent-observability platforms; your real recurring cost is the model provider key you wire into `mythos chat` and `mythos run`. The MCP and external-agent SWD paths verify submitted file actions without a Mythos model call, so teams already paying for an agent can add the verification boundary without doubling model spend. A separate token-gated Nexus beta exists for
In short
Mythos Router — Mythos Router is a local MIT-licensed CLI that checks AI coding agent file edits against your actual filesystem before accepting them. Best for Developers using AI coding agents who need proof of every file edit, Teams enforcing review standards with repo-local SKILL.md rules and local receipts, Regulated or audit-heavy environments that must show what AI changed and why. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
What is Mythos Router?
Mythos Router — Mythos Router is a local MIT-licensed CLI that checks AI coding agent file edits against your actual filesystem before accepting them. Best for Developers using AI coding agents who need proof of every file edit, Teams enforcing review standards with repo-local SKILL.md rules and local receipts, Regulated or audit-heavy environments that must show what AI changed and why. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
Mythos Router is a local, MIT-licensed CLI that forces AI coding agents to prove their file edits against your actual disk. Instead of trusting a model's summary of what it changed, it treats each edit as a claim, snapshots disk state before and after, checks hashes, and rolls back writes that don't match. The run only closes once the filesystem agrees with the claim — that's the whole product. It fits three setups. Use it as the agent itself with `mythos chat` or a scriptable one-shot `mythos run --file TASK.md`. Use `mythos learn` to scan local project signals and generate a reviewable `.mythos/skills/<name>/SKILL.md` of repo rules and risk surfaces — without running npm scripts, tests, builds, or model calls. Or expose it over MCP (`mythos mcp`) so external agents get local dry-runs, verified applies, rollback, receipts, and skill inspection, even with no Mythos model call of their own. Verified non-dry-run writes land as local receipts in SQLite carrying file hashes, provider or external-agent metadata, git context, rollback status, and later drift verification. Runs are budget-aware — the CLI shows token and turn caps alongside an estimated cost (the homepage example is 4,812 tokens, ~$0.0241, for a two-file docs update) with a default of 500,000 tokens and 3 turns. The chat and run entry points need a configured model provider key (the docs show `claude-opus-4-7` in the sample session); the MCP and SWD apply paths do not call a Mythos model in the file-apply path at all, so they can verify submitted file actions from an external agent. It's CLI-only, needs Node.js, SQLite, and git locally, and is not a multi-model chat front end. If you've been burned by hallucinated diffs, this is the difference between "trust me" and "show the hash."
Key features
- Strict Write Discipline (SWD) verifies every claimed file edit against the real filesystem
- Before/after disk snapshots with hash checks on each write
- Local SQLite receipts with file hashes, git context, and rollback status
- Interactive chat mode for AI-assisted coding sessions
- Scriptable one-shot run mode from inline prompts, files, or stdin
- MCP tool server for external agents (dry-runs, verified applies, receipts, skill inspection)
- External-agent SWD that verifies submitted file actions without a Mythos model call
- Repo learning that generates a reviewable SKILL.md without running builds, tests, or model calls
- Repo skills in .mythos/skills/<name>/SKILL.md and personal rules in ~/.mythos-router/skills
- Dry-run mode with rollback for failed writes
- Safety defaults: paths constrained to project, sensitive files blocked, high-impact actions need opt-in
- Receipt drift checks and cross-session receipt inspection
- Token and turn budgets with per-run cost estimates (default 500k tokens / 3 turns)
- Memory persistence across sessions, with active skills recorded in receipts
- Read-only setup check via `mythos init --check` reporting Node, SQLite, git, provider keys, memory, and skill folders
Behind the verdict
Mythos Router's whole identity is one idea executed carefully: a file edit is a claim, and a claim should be checkable. The engine snapshots disk state before a write, applies the change, hashes the result against the claim, and rolls back if the filesystem disagrees. That loop is what separates it from a chat front end that says "I updated README.md" and hopes you don't look. What's genuinely strong here is the architecture of trust, not the model. Because the MCP and external-agent SWD paths (`mythos mcp`, `swd_dry_run` / `swd_apply`) verify file actions without calling a Mythos model at all, you can point Claude Code or any MCP client at `mythos mcp` and get a verified file-edit boundary while keeping your existing agent. The receipts (SQLite, carrying file hashes, provider or external-agent metadata, git context, rollback status, and later drift checks) are the artifact auditors and reviewers actually want — and active skills get recorded in them too, so you can see which repo rules were in force during a run. Safety defaults are sensible: paths are constrained to the project, sensitive files are blocked, and high-impact actions require explicit opt-in. `mythos learn` generates a repo-local SKILL.md from local project signals without running npm scripts, tests, builds, or model calls, which means you can capture conventions without giving a script execution rights. Budget controls (default 500k tokens / 3 turns, with a per-run cost estimate shown in the CLI) keep runaway loops in check. Where it doesn't fit: it's a CLI. There is no GUI or web console, and you need Node.js, SQLite, and git locally. The chat and run entry points need a configured model provider key — without one you're limited to the MCP/SWD apply paths, which is fine if that's all you want but a dead end if you wanted Mythos to be your coding agent. Teams looking for a cloud-hosted managed agent service won't find it here. And despite the model name appearing in the sample session, this is explicitly not a multi-model chat front end — treat it as a verification layer, not a chatbot. One note for anyone doing diligence: the Mythos-Nexus beta is gated to $MYTHOS holders and is part of the mythos-router token ecosystem on Base (contract 0xb942b75a602fa318ac091370d93d9143ba345ba3). That's a token-gated track alongside the MIT-licensed CLI. Judge the CLI on the CLI; the token track is a separate question and the sources don't give us tier or price detail for it.
Models under the hood
as of 2026-10-24
Limitations
- Mythos Router is a local CLI that requires Node.js, SQLite, and git — `mythos init --check` reports on all three but does not install them for you.
- The chat and run entry points need a configured model provider key; the MCP and SWD apply paths do not call a Mythos model in the file-apply path.
- Runs default to a 500k token / 3 turn budget, and the CLI shows estimated cost per run rather than enforcing a spend cap.
- There is no GUI or web console.
- The Mythos-Nexus beta is gated for $MYTHOS holders.
as of 2026-10-07
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Is Mythos Router still active?
Mythos Router is live · free plan; paid price not published · last verified 24 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Mythos Router? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Mythos Router?
What people actually say about Mythos Router — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
Researched30 mentions across 3 sources (YouTube, GitHub, Lemmy) · researched Aug 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Strict Write Discipline checks every AI edit against the real filesystem
- +Before/after snapshots with hashes and signed receipts provide tamper-proof audit
- +Local SQLite receipts with drift checks enable reliable rollback
- +Runs fully locally — no cloud dependency for core verification
- +Supports interactive, one-shot, and MCP modes for flexible integration
- −Very thin community feedback — few real user experiences to lean on
- −YouTube buzz is mostly about the wrong 'Mythos' — not this tool
- −Default Anthropic provider may create vendor lock-in and extra costs
- −Token-gated Nexus beta adds confusion and crypto-flavored friction
- −Setup requires Node, SQLite, git, and provider keys — not plug-and-play
- • If using Anthropic's Claude Opus 4.8, API costs apply per usage
- • Token-gated features may require purchasing $MYTHOS tokens, introducing a crypto-related cost
How we verified this
Every listed fact about Mythos Router— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Mythos Router 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed who should skip it, models, hidden costs, description, who it suits, limitations, switching in, setup time, switching out, use cases, pricing fit, pricing tiers, summary, our verdict, features
- — changed limitations, models
- — changed summary, description, our verdict, pricing tiers, who should skip it, features, who it suits
- — changed setup time, features, hidden costs, switching in, switching out, pricing fit, who should skip it, use cases
- — changed domain expiry
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Mythos Router cost in 2026?
Mythos Router: Free to start; it also has paid plans whose price we could not confirm — see the pricing table. Pricing last verified 24 Oct 2026.
Plans compared
Every published Mythos Router tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source | Free | — | Developers and teams who want filesystem-level verification of AI agent edits and are comfortable running a local Node.js, SQLite, and git stackAdds: Starting tier: MIT-licensed CLI via npm, with Strict Write Discipline, local SQLite receipts, chat/run/MCP modes, repo skills, memory, and token/turn budgets |
| Nexus Beta | $MYTHOS tokens | — | $MYTHOS holders on Base who want early access to the token-gated beta track of the mythos-router ecosystemAdds: Adds token-gated beta access on top of the free CLI; API billing and further token-gated features are listed as roadmap |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Mythos Router's pricing actually pencils out — and where peers do it cheaper.
The MIT-licensed CLI is free to install via `npm install -g mythos-router`, which puts it below paid verified-execution and agent-observability platforms; your real recurring cost is the model provider key you wire into `mythos chat` and `mythos run`. The MCP and external-agent SWD paths verify submitted file actions without a Mythos model call, so teams already paying for an agent can add the verification boundary without doubling model spend. A separate token-gated Nexus beta exists for
Has Mythos Router's pricing changed?
No plan price for Mythos Router has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Mythos Router?
Pick Mythos Router if you are Developers using AI coding agents who need proof of every file edit, Teams enforcing review standards with repo-local SKILL.md rules and local receipts, Regulated or audit-heavy environments that must show what AI changed and why, MCP clients and external agents wanting a local verified file-edit boundary.
Look elsewhere if you are Non-technical users wanting a GUI or web console — Mythos is CLI-only and needs Node.js plus SQLite locally, Teams that want a cloud-hosted or managed agent service rather than a self-hosted CLI, Anyone treating it as a multi-model chat front end — it's a verification layer first, Users who won't run a local Node.js/SQLite/git stack or manage their own provider keys for chat and run.
Skip it if Skip Mythos Router if you want a browser-based AI coding agent with a GUI, or if you can't run a local Node.js, SQLite, and git stack and supply your own model provider key for chat and run.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Mythos Router actually fits — and what changes day-one when you adopt it.
After `npm install -g mythos-router` and `mythos init`, run `mythos run --file TASK.md` for a two-file docs update; SWD snapshots disk state, applies the changes, and verifies README.md and CHANGELOG.md against their hashes.
Outcome: A receipt (e.g. swd_2026_05_20_19f4c2) records the run at 4,812 tokens and roughly $0.0241, so you can show exactly which files changed and confirm nothing else did.
Keep your current agent, point it at `mythos mcp`, and let it call `swd_dry_run` before `swd_apply` so every submitted file action is dry-run, verified, and rollback-protected.
Outcome: Verified applies produce SQLite receipts with file hashes, external-agent metadata, git context, and rollback status — without a Mythos model call in the file-apply path.
Run `mythos learn` to generate a reviewable `.mythos/skills/<name>/SKILL.md` from local project signals, then run `mythos run --file TASK.md -s repo` so those rules load every session.
Outcome: Repo conventions and risk surfaces are captured without running npm scripts, tests, builds, or model calls, and the active skills are recorded in each run's receipt.
Use cases
- Verify every AI-suggested file edit against your actual filesystem before accepting changes.
- Run a task file (`mythos run --file TASK.md`) and get a receipt of what was actually modified.
- Use `mythos mcp` to route external MCP agents through a local verification layer.
- Teach Mythos your repo conventions with `mythos learn` and enforce them in later sessions.
- Audit AI-generated code changes with before/after hashes and rollback on mismatch.
- Run a CI pipeline using Mythos dry-modes to catch hallucinated diffs automatically.
- Use `mythos run` for scriptable one-off tasks from inline prompts, files, or stdin.
Setup time & first value
How long it actually takes to get something useful out of Mythos Router — broken out by persona, not the marketing-page minute.
Solo developer: a few minutes to `npm install -g mythos-router`, run `mythos init --check` to confirm Node, SQLite, git, provider keys, memory files, and skill folders, then your first `mythos chat` or `mythos run`. Team: same install, plus one pass of `mythos learn` to generate a repo SKILL.md worth reviewing before you trust it. MCP-only users: shortest path — no provider key needed for the
Switching to or from Mythos Router
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual diff review: run `mythos mcp` and route your existing agent's file actions through `swd_dry_run` then `swd_apply` to get verification without changing editors.
- →From trusted-agent workflows: keep the agent, add Mythos as the execution boundary so approved writes land only after disk state matches the claim.
- →From ad-hoc audit scripts: replace them with `mythos learn`-generated repo SKILL.md rules and SQLite receipts that already carry file hashes and git context.
- ↗To a cloud-hosted managed agent platform: you'd give up local receipts and filesystem-level SWD verification, since those depend on running the boundary on your own disk.
- ↗To plain git diffs: you'd keep the diff but lose the before/after hash check, rollback-on-mismatch, and receipt drift verification.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Mythos Router”, and we withheld 6: 6 did not mention Mythos Router. We are showing none, because we could not prove any of them are about Mythos Router.
Official links
What are the best Mythos Router alternatives?
The closest alternatives to Mythos Router we list are Omni, Replit's Ghostwriter Chat and Design.MD. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Omni | Free | Free | — |
| Replit's Ghostwriter Chat | Freemium | Pricing not published | — |
| Design.MD | Freemium | Pricing not published | — |
Alternatives to Mythos Router
View all
Omni
OMNI is a local shell hook that strips noise from terminal output before your coding agent reads it, and folds repeat reads into handles.
Replit's Ghostwriter Chat
A conversational AI coding assistant that reads your Replit project files before it answers, right in the browser IDE.
Tools that pair well with Mythos Router
Common stack mates teams adopt alongside Mythos Router, with the specific reason each pairing earns its keep.
Omni
OMNI is a local shell hook that strips noise from terminal output before your coding agent reads it, and folds repeat reads into handles.
Replit's Ghostwriter Chat
A conversational AI coding assistant that reads your Replit project files before it answers, right in the browser IDE.
Design.MD
DESIGN.md files that give your AI coding agent a real brand's colors, type and spacing instead of generic AI layouts.
Mythos Router vs its closest rival
Mythos Router's closest head-to-head is with Spider Cloud — Choose Mythos Router if you need a zero-cost, verifiable guardrail for AI coding agents that demand file-system proof, but be aware it's CLI-only and locked to Claude Opus. Pick Spider Cloud if your AI agent needs live web data fast, with a full-featured scraping API and a free tier that covers light usage. They are complementary—use both to close the loop between code generation and data ingestion. Verdict generated
Head-to-head comparisons
Mythos Router vs Spider Cloud
Choose Mythos Router if you need a zero-cost, verifiable guardrail for AI coding agents that demand file-system proof, but be aware it's CLI-only and locked to Claude Opus. Pick Spider Cloud if your AI agent needs live web data fast, with a full-featured scraping API and a free tier that covers light usage. They are complementary—use both to close the loop between code generation and data ingestion.
GeneratedMythos Router vs Temporal Ai
Choose Temporal AI if you need battle-tested durable execution for complex AI agent workflows, microservices orchestration, or human-in-the-loop processes—especially in production. Choose Mythos Router if your primary concern is verifying that AI code editors actually perform the file writes they claim, providing cryptographic audit trails for every edit. They solve different problems: Temporal ensures reliability across time, Mythos ensures honesty in a single session.
GeneratedMythos Router vs Voyage Ai
Choose Voyage AI if you need enterprise-grade, domain-specific embedding models for RAG with compliance (SOC 2, HIPAA) and long-context support. Choose Mythos Router if you're a developer who wants a free, verifiable layer for AI coding agents to prevent hallucinated file edits—but note recent news questioning its actual capability.
GeneratedMythos Router vs Pieces For Developers
If you need a verifiable audit trail of every AI-proposed file edit with cryptographic receipts, Mythos Router is your tool — it's free and open-source, but CLI-only. If you want to automatically capture your entire workflow (code, chats, meetings) into a searchable timeline to reduce context-switching, Pieces for Developers is the better fit, with a rich GUI and 25+ app integrations. Choose based on whether your pain point is trust in AI edits or remembering past work.
GeneratedFrequently asked questions
Best-of guides
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