Mythos Router
Local CLI that forces AI agents to prove file edits against your real filesystem.
If you're tired of AI coding agents hallucinating file changes, Mythos Router is a refreshingly honest solution. It's open source, CLI-native, and deeply technical – not for GUI fans, but perfect for devs who want verifiable edits and signed receipts.
- Developers using AI coding agents who want verifiable file edits and audit trails
- Teams enforcing code review standards with automated repo rules and receipts
- Engineers running task-driven AI workflows with strict filesystem accountability
- Users of MCP-compatible clients needing a local verification layer for file writes
- Non-technical users expecting a GUI or web interface (CLI-only)
- Anyone needing built-in multi-model support beyond Claude Opus 4.8 (no GPT, Gemini, or local models yet)
- Teams wanting cloud-hosted or managed AI agent services (self-hosted only)
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In short
Mythos Router — Local CLI that forces AI agents to prove file edits against your real filesystem. Best for Developers using AI coding agents who want verifiable file edits and audit trails, Teams enforcing code review standards with automated repo rules and receipts, Engineers running task-driven AI workflows with strict filesystem accountability. Free to use.
Viability Score
How likely is Mythos Router to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Strict Write Discipline (SWD) verifies each file edit against filesystem
- Before/after snapshots with hashes for every claimed edit
- Local signed receipts stored in SQLite with drift checking
- Chat mode: `mythos chat` for interactive AI coding sessions
- Task mode: `mythos run` for single-file or markdown-defined tasks
- MCP server mode: `mythos mcp` exposing swd_dry_run and swd_apply
- Skill system: `mythos learn` to generate and load repo rules
- Memory persistence across runs with configurable context budget
- Dry-run mode with rollback capability
- Provider auto-detection and model configuration (Anthropic Claude Opus 4.8)
- Safety defaults: blocked paths and security stop on mismatches
- Init check: `mythos init --check` for Node, SQLite, git, provider keys
- Token-gated Nexus beta for $MYTHOS holders
- Install via npm: `npx mythos-router chat` or global install
About Mythos Router
Mythos Router is a local CLI tool that enforces strict verification of AI-proposed file edits by comparing each claimed change against the actual filesystem state. It operates as an execution boundary between language model output and your codebase, recording before/after snapshots, hashes, and verification status in signed receipts. Built for developers and teams using AI coding assistants, Mythos acts as a verifiable layer that prevents models from hallucinating or misrepresenting file modifications. It works as a standalone agent (via chat or task files), a skill-loading system for repo rules, or an MCP adapter that external agents can call for dry-runs and verified applies. The core mechanism is Strict Write Discipline (SWD): every file edit proposed by a model is checked against disk before and after the operation. Only when the hash, intent, and disk state match does the operation complete. All outcomes are recorded in local receipts (SQLite-based) for later inspection or rollback. Mythos is open source under MIT license. It currently defaults to Anthropic's Claude Opus 4.8 via the anthropic provider, with auto provider selection and configurable model settings. The project also includes a token-gated Nexus beta for $MYTHOS holders. Unlike AI chat wrappers that trust model output, Mythos provides a tamper-proof audit trail for every file write.
Behind the Verdict
Mythos Router tackles a genuine pain point: AI agents that claim to have edited files but actually did something else. The Strict Write Discipline (SWD) checks each proposed change against the real filesystem before and after, so you get a cryptographic proof that the edit actually happened. This is a big deal for anyone who's been burned by model hallucination in code generation. Where it shines: CI pipelines, code review workflows, and any scenario where you need an auditable trail. The MCP mode lets external agents like Claude Desktop or Continue.dev call verified file operations without running the model themselves. The receipt system stores hashes and git context, so you can detect drift later. But Mythos has sharp edges. It's currently locked to Anthropic's Claude Opus 4.8 – no GPT, no local models, no Gemini. The CLI-only design means no web UI, which gates out non-technical users. The token-gated Nexus beta is interesting but opaque. Compared to alternatives like Aider or Continue, Mythos trades model flexibility for verifiability. We'd reach for this when audit trails matter more than model choice – think regulated codebases or open-source projects that need proof of origin. For everyday tinkering, the single-provider limit is a real drag. Still, the MIT license and clever SWD mechanic make it worth a spin for devops-minded teams.
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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 signed 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 subsequent sessions.
- Audit AI-generated code changes with before/after hashes and rollback on mismatch.
- Set up a CI pipeline that runs Mythos dry-modes to catch hallucinated diffs automatically.
Models Under the Hood
as of 2026-07-18
Limitations
- Mythos currently defaults to claude-opus-4-7 model; model selection is not yet broad.
- The CLI requires Node.js and is Linux/macOS first with no native Windows support.
- Token budget defaults to 500k tokens and 3 turns per run, configurable.
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.
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