# AXLR vs T3 Code

> AXLR scores 70.6 (BB) to T3 Code's 51.9 (D) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/axlr-vs-t3-code
- Markdown: https://www.anchorterminal.com/compare/axlr-vs-t3-code.md (~5,950 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

AXLR scores 70.6 (BB) on agent readiness against T3 Code's 51.9 (D), and leads in 6 of 7 scored categories. Both do agent harnesses.

- AXLR: grade BB, 70.6/100, rank #198 of 1510. Markdown https://www.anchorterminal.com/tools/axlr.md · JSON https://www.anchorterminal.com/api/v1/tools/axlr.json
- T3 Code: grade D, 51.9/100, rank #1008 of 1510. Markdown https://www.anchorterminal.com/tools/t3-code.md · JSON https://www.anchorterminal.com/api/v1/tools/t3-code.json
- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md
- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md

## Which one, for what

### AXLR (BB)

Good for: A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.

Ahead on:
- Reliability, 70 against 43
- Schema & documentation, 80 against 55
- Agent ergonomics, 83 against 60
- Security & auth, 62 against 35

Also in its favour:
- Agent-ready, a grade of BB or better
- Free to start without a card

Watch for: The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list

### T3 Code (D)

Good for: Developers who want one app, including on their phone, to drive several coding agents they already pay for.

Also in its favour:
- No key needed to call it

Watch for: Usage data on by default, with hashed OpenAI and Claude account identifiers, and relay traces to Axiom


## Why the edge

### Reliability: AXLR +27

- AXLR (70): Read as a local package, as claude-code, goose, opencode and openhands were. Release archives for Linux, macOS and Windows on amd64 and arm64 with a `.sha256` beside each, a GHCR image, an OCI Helm chart and source builds with Go 1.26, all stated in the docs; no Homebrew, npm or apt route (20). CI on main runs vet, race tests and a coverage gate above 80 per cent for both modules, with the sandbox tests required under bubblewrap, and the last ten runs on main to 1 November 2026 all passed; the release workflow tests on six native runners (25). 10 open issues, all opened by the founder on 19 and 21 October 2026 as trackers for service work (work modes, plugins, the sandbox setting, cost limits), none from an outside user and none a crash report, 0 open pull requests and about 100 merged; with 0 stars there is nobody else to report, so the handling of outside reports is untested (20). Tags are semver 0.x and the docs date each behaviour change inline ("until 14 October 2026…"), but the 21 releases have empty notes, there is no CHANGELOG.md, and the product contract records one retirement (the seven 1.0 skill definitions on 5 October 2026) without a notice period (5). Pre-1.0, which the README calls an evolving project (0). 20+25+20+5+0 = 70.
- T3 Code (43): Local software. An install script and desktop and mobile apps from the vendor (20). ci.yml and windows-tests.yml run on the repository; pass state not read (15). GitHub issues and pull requests weren't read (GitHub's pages refuse these sessions), so that line is scored absent (0). Stable tags v0.1.5 to v0.1.7 with many nightlies, no changelog file (8). Version 0.1.7 (0). 20 + 15 + 0 + 8 + 0 = 43.

### Security & auth: AXLR +27

- AXLR (62): Harness reading of the framework checklist, as for the other four harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No product telemetry in the console source (the outbound hosts are openrouter.ai, api.anthropic.com, api.openai.com, a configured local server, api.github.com and github.com for engine downloads, and registry.underpassai.com for the signed catalog index) or in the docs; payload capture is off by default since 9 October 2026, traces omit prompts and credentials, model keys are never given to commands or plugins, and Jev sends requests and answers to TypeSafe only when on, which the setup assistant does when `TYPESAFE_API_KEY` is set, with a notice on stderr (27). Approval cards, a destructive list that always asks, four work modes, a policy level per execution, a bubblewrap or container sandbox with an enforced egress allow list, and a service that approves nothing but reads. Against that, the setup assistant writes `autonomous: true`, `exec_sandbox` is off by default, forged tools run with the person's rights, and the README says the console and worker are not sandboxes (13). Forged tools are refused when a file changes since the forge, a policy forbids calls outside the model, and the docs say MCP tools keep their own side effects, but no prompt-injection guidance was found and MCP results reach the model unmarked (6). The service keeps an event journal, audit records, a receipt with the SHA-256 of every call's arguments and outcome, and correlation ids on every event; the console keeps session records, a redacted app log and `/session` (14). No SECURITY.md, no security.txt on either host, no advisories, no bug bounty; release checksums and a minisign-signed catalog are integrity, not a programme (2). 27+13+6+14+2 = 62.
- T3 Code (35): Harness reading. Product usage events go by default to ingest.t3.codes and PostHog, with hashed identifiers for your T3 Connect, OpenAI and Claude accounts, and relay traces to Axiom, which can include machine names and error text. Off with T3CODE_TELEMETRY_ENABLED=false or a managed policy. Disclosed in docs/user/telemetry.md, not the README (10 of 30). Permission modes and managed policies (12 of 20). No prompt-injection guidance (5). No audit log (5). No security policy file found (3). 10 + 12 + 5 + 5 + 3 = 35.

### Schema & documentation: AXLR +25

- AXLR (80): An OpenAPI 3.1 file for the service (15 paths, 23 schemas, `mutualTLS` security scheme, `additionalProperties: false` on request bodies), a checked proto for the gRPC service, and the 19 MCP tools built from the same shared schemas (25). No llms.txt on either site (404), and the docs site renders HTML; the Markdown sources are in the repository (5). The product contract tables what each of the four interfaces can and cannot do, the work-mode table states each mode's purpose and tool policy, the transport parity ledger names every verb's arguments and behaviour, and `axlr_tools` tells the model to look for a tool before forging one (15). Typed inputs throughout, `Idempotency-Key` 16 to 128 safe ASCII characters, `expected_revision` a positive integer, policy levels, sandbox profiles and egress values enumerated, budgets as four integers, and the service rejects unknown fields, invalid types and bodies over 4 MiB (14). Examples in every guide, an error shape of `code`, `message` and `request_id`, named codes (`409 idempotency_conflict`, `400 invalid_cursor`, `422 invalid_policy`, `invalid_budget`, `sandbox_unavailable`, `not_ready`, `invalid_id`), a gRPC status mapping, and the worker's five statuses and three exit codes; no single error reference page (14). `/v1` routes and an OpenAPI version of 0.1.0 against a 0.15.0 release, and no changelog beyond the dated notes inside the docs (7). 25+5+15+14+14+7 = 80.
- T3 Code (55): Harness reading. User docs in the repository (managed policy, handoffs, providers, telemetry), AGENTS.md for contributors, a server other clients connect to (55).

### Agent ergonomics: AXLR +23

- AXLR (83): Harness reading of the framework line, scored on what a program driving it has to supply. Six local tools plus the host's bookkeeping tools; work modes and an execution policy hide the tools a run may not use, `axlr_catalog` searches the catalog instead of loading it, forged tools keep the request prefix for the prompt cache, and a context cap of 75,000 prompt tokens opens a successor session (20). `local_read`, `local_search` and `local_list` page with `offset`, `next_offset` and `max_bytes`; `StreamEvents` takes `after`, `max_events` (1 to 256) and `wait_ms`; a budget per execution in seconds, requests, tool calls and dollars; 32 tool calls a turn and `max_session_usd` (20). The `--exec` run ends in one `result` line with a status, the pending call, every call's outcome and the usage, and exits 0, 3 or 1; service errors carry codes an agent can act on; a budget stop says which limit (`budget: requests 20 reached`) and leaves the session resumable (16). `Idempotency-Key` on every turn, approval and direct call with cross-transport replay, `expected_revision` on decisions, `expected_sha256` on worker writes, and an interrupted effectful call left `uncertain` for an operator rather than retried (19). One command runs a task, but the first launch needs an OpenRouter key or a local server, the service needs a CA, a principals file and remote KMP and MADE before a first session, and the only SDK is the Go library (8). 20+20+16+19+8 = 83.
- T3 Code (60): Harness reading. Remote control from phone or browser, portable handoffs between providers and managed policies for teams (60).

## Score by category

| Category | Weight | AXLR | T3 Code | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 43 | AXLR +27 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 80 | 55 | AXLR +25 |
| Agent ergonomics | 13% (16.2 this run) | 83 | 60 | AXLR +23 |
| Security & auth | 14% (17.5 this run) | 62 | 35 | AXLR +27 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 79 | 75 | AXLR +4 |
| Transparency & trust | 7% (8.8 this run) | 55 | 51 | AXLR +4 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **70.6 · BB** | **51.9 · D** | |

## Facts side by side

| Fact | AXLR | T3 Code |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | Underpass AI | T3 Tools Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | OAuth or key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-25 | 2026-11-06 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Popularity | 0 stars | none |

## Verdicts

**AXLR.** A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.

**T3 Code.** A fast-moving open-source way to run and steer several coding agents from desktop, browser or phone, using the subscriptions you already have. It's pre-1.0, and it sends usage data by default, including hashed identifiers for your OpenAI and Claude accounts, with the opt-out documented outside the README.

## Before you call either

### AXLR

1. Before the first prompt, set `approvals.autonomous` to false or run with `--approve none`, and turn `exec_sandbox.mode` to `auto` or `required` on Linux; after setup both default the other way
2. Drive a run with `axlr-tui --exec --json --policy <file> --budget <file> --sandbox <file>` and read only the last `result` line; exit 3 means a call waits for `--decide approve|deny` with `--session <id>`
3. On the service, send `Idempotency-Key` (16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session's `expected_revision`; a reused key with a different body answers 409
4. A local model must return native tool calls (llama.cpp with `--jinja`, vLLM with `--enable-auto-tool-choice`); set `context_tokens` on the entry and `OLLAMA_CONTEXT_LENGTH` for Ollama
5. Leave `TYPESAFE_API_KEY` unset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe

### T3 Code

1. Set T3CODE_TELEMETRY_ENABLED=false before starting the server if you don't want usage events sent
2. Install and log in to at least one provider CLI first, such as codex login or claude auth login
3. Use a managed policy to fix settings across a team

## Questions

### Which is better for AI agents, AXLR or T3 Code?

AXLR scores 70.6 (BB) on agent readiness against T3 Code's 51.9 (D), and leads in 6 of 7 scored categories.

### Are AXLR and T3 Code open source?

Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). T3 Code is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/axlr-vs-t3-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/axlr-vs-t3-code.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "axlr", "b": "t3-code"}`. From a terminal: `anchor compare axlr t3-code`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/axlr.json and https://www.anchorterminal.com/api/v1/tools/t3-code.json

## Other comparisons with AXLR or T3 Code

- [Agent Zero vs AXLR](https://www.anchorterminal.com/compare/agent-zero-vs-axlr.md)
- [Agent Zero vs T3 Code](https://www.anchorterminal.com/compare/agent-zero-vs-t3-code.md)
- [Aider vs AXLR](https://www.anchorterminal.com/compare/aider-vs-axlr.md)
- [Aider vs T3 Code](https://www.anchorterminal.com/compare/aider-vs-t3-code.md)
- [Amp vs AXLR](https://www.anchorterminal.com/compare/amp-vs-axlr.md)
- [Amp vs T3 Code](https://www.anchorterminal.com/compare/amp-vs-t3-code.md)
- [Antigravity CLI vs AXLR](https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr.md)
- [Antigravity CLI vs T3 Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-t3-code.md)
- [Auggie CLI vs AXLR](https://www.anchorterminal.com/compare/auggie-vs-axlr.md)
- [Auggie CLI vs T3 Code](https://www.anchorterminal.com/compare/auggie-vs-t3-code.md)
- [AXLR vs Claude Code](https://www.anchorterminal.com/compare/axlr-vs-claude-code.md)
- [AXLR vs Cline](https://www.anchorterminal.com/compare/axlr-vs-cline.md)
- [AXLR vs Conductor](https://www.anchorterminal.com/compare/axlr-vs-conductor.md)
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- [AXLR vs Pi](https://www.anchorterminal.com/compare/axlr-vs-earendil-pi.md)
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- [AXLR vs GitHub Copilot CLI](https://www.anchorterminal.com/compare/axlr-vs-github-copilot-cli.md)
- [AXLR vs goose](https://www.anchorterminal.com/compare/axlr-vs-goose.md)
- [AXLR vs Harness²](https://www.anchorterminal.com/compare/axlr-vs-harness2.md)
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- [AXLR vs Kimi Code CLI](https://www.anchorterminal.com/compare/axlr-vs-kimi-code-cli.md)
- [AXLR vs Kiro CLI](https://www.anchorterminal.com/compare/axlr-vs-kiro-cli.md)
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- [Paperclip vs T3 Code](https://www.anchorterminal.com/compare/paperclip-vs-t3-code.md)
- [Parallax vs T3 Code](https://www.anchorterminal.com/compare/parallax-agents-vs-t3-code.md)

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