Callimachus vs Mira

Callimachus and Mira are both coding assistants 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.

Callimachus

The vendor describes Callimachus as a background watcher that indexes conversation history from eleven AI coding tools — Claude Code, Cursor, Cline, Codex, and seven others — into a single on-device catalogue with both keyword and semantic search. You query it from a desktop app, a VS Code sidebar, the terminal, or an MCP server that lets other agents pull your past threads directly. The index never leaves your machine: no account, no telemetry, AGPL-3.0 source available. The distillation features — summarizing decisions and gotchas across threads — require either a local Ollama setup or a cloud API key, so that layer is not zero-dependency. Teams running agents that aren't on the eleven supported list get no indexing without manual workarounds.

Mira

The vendor states Mira hooks into GitHub via a self-hosted GitHub App, fires on every pull request open event, and posts inline comments within a median of 77 seconds — mapping call graphs and dependency blast radius before reading the diff. It flags bugs, auth bypasses, missing awaits, and style drift by reading the repo's own patterns rather than a ruleset you maintain. The self-host path is a single Docker command; the model is swappable via environment variable, so teams running Ollama or a private Anthropic endpoint are equally supported. Where it breaks: teams needing IDE feedback before a PR exists, or wanting issues surfaced in CI pipelines outside GitHub, hit a gap the tool does not currently fill.

Attribute	Callimachus	Mira
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	macOS, Windows, Linux	Docker, self-hosted
Pros	Hybrid keyword-plus-semantic search over local conversation history, so a half-remembered description of a fix surfaces the right thread without knowing the exact words you used the first time. Indexes eleven AI coding tools into one catalogue, which means you stop re-explaining context to each tool independently after switching environments mid-task. Fully local operation — index, embeddings, and search all stay on disk with no account or telemetry — so conversations with proprietary codebases never leave the machine, which matters for any team under an NDA or SOC 2 obligation. MCP server exposes indexed history to other agents on demand, so an agent starting a new session can retrieve your prior decision on the same problem rather than rediscovering it from scratch. AGPL-3.0 source means you can audit exactly what the indexer reads and stores — you don't have to accept the vendor's privacy statement on faith.	Self-hosted by default with a single Docker command, so your source code never transits a third-party SaaS — which matters the moment a security or compliance audit asks where your code traveled. Model is swappable via a single environment variable, so switching from Anthropic to a local LLM when API costs or data-residency requirements change does not require re-architecting the deployment. Convention enforcement derives from the repo itself rather than a config file you maintain, which means teams avoid the ongoing cost of keeping a ruleset synchronized with how the codebase actually evolves. Blast radius reporting — listing dependent repositories and reference counts alongside each flagged issue — lets engineers triage by actual impact rather than debating whether a comment is worth addressing. Apache 2.0 license, so teams that need to audit, fork, or extend the reviewer are not blocked by proprietary terms — unlike SaaS alternatives where the review logic is a black box.
Cons	The distillation and cited-answer features require either a local Ollama install or a cloud API key — teams expecting a fully zero-dependency local experience hit this wall the first time they try to summarize decisions across threads and find that feature is not bundled. Support is limited to eleven specific tools at v0.6.1; a team whose primary coding agent is outside that list gets no automatic indexing, and the vendor page describes no generic import format, so that history stays invisible to the catalogue. There is no Windows or Linux desktop auto-update infrastructure described beyond 'auto-updates' for macOS — teams on Linux running the CLI or MCP surface manage updates manually, which adds friction in production environments with multiple machines. A team that needs indexed history shared across multiple developers — not just one local machine — will find no sync or multi-user path here; at that point they are looking at self-hosted vector search infrastructure or a different tool entirely.	The only documented integration trigger is a GitHub pull request open event. Teams wanting feedback earlier — pre-commit, on push to a branch, or inside a CI pipeline gate — get nothing from Mira, and adding that coverage requires a separate toolchain running in parallel. No hosted option exists. Teams without the infrastructure capacity or operational appetite to run and maintain a containerized service, manage GitHub App credentials, and keep Postgres healthy will spend more time on the deployment than the review coverage saves them — at which point a hosted SaaS reviewer is the rational alternative. The benchmark cited on the product page is vendor-published against a single 50-PR dataset judged by a specific Claude model. Teams making a production bet need to validate false-positive rates against their own repos; community-independent benchmarks are not yet available, so quality claims cannot be verified externally before deployment.

Bottom line

Callimachus and Mira 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 Callimachus and Mira?

Callimachus is Free and open source, while Mira is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Callimachus better than Mira?

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.