Head to head · Agent harnesses · October 2026 research run
AXLR vs Traycer
AXLR scores 70.6 (BB) on agent readiness against Traycer's 57 (C), and leads in 6 of 7 scored categories. Traycer leads on transparency & trust. Both do agent harnesses.
Best agent harnesses and coding agents · All 1500 harnesses comparisons
Which one, for what
AXLR BB
Best 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 65
- Schema & documentation, 80 against 65
- Agent ergonomics, 83 against 65
- Security & auth, 62 against 42
- Payments & pricing, 60 against 30
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
Traycer C
Best for Teams who want several coding agents working together with shared context and boards.
Ahead on
- Transparency & trust, 60 against 55
Also in its favour
- No key needed to call it
Watch for
Privacy Mode is opt-in for individuals; with it off, prompts may be logged
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Payments & pricing AXLR +30
AXLR 60
No payment protocol (0). Free and Apache-2.0 with nothing to buy, so 20, 20 and 20 on the last three lines by the self-hosted rule, since the docs say what you pay your model provider, the free route needs no card, and it runs local models with no signup at all, the JSON worker without any model. 0+20+20+20 = 60.
Traycer 30
Scored on the paid option, Traycer's own inference subscription, whose price wasn't read (0 of 20). No protocol (0). Bring-your-own-agent use is free (20). Accounts for sync and teams weren't checked, half (10). 0 + 0 + 20 + 10 = 30.
Security & auth AXLR +20
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.
Traycer 42
Harness reading. Code is processed in memory and not used for training, but Privacy Mode is opt-in for individuals, prompts may be logged with it off, and Sentry and PostHog 'may be enabled in release builds' (10 of 30). No approval model described in the README (8 of 20). No prompt-injection guidance (5). No audit log found (5). SECURITY.md, CodeQL, Scorecard and secret scanning (14 of 20). 10 + 8 + 5 + 5 + 14 = 42.
Agent ergonomics AXLR +18
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.
Traycer 65
Harness reading. Model switching within an agent, agent-to-agent loops, a CLI and cross-device sync (65).
Schema & documentation AXLR +15
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.
Traycer 65
Harness reading. Mintlify docs, a protocol package and a CLI (65).
Reliability AXLR +5
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.
Traycer 65
Local software. Builds for macOS, Linux and Windows, and package-manager publishing workflows (20). test.yml, CodeQL, OpenSSF Scorecard and secret scanning 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). CHANGELOG.md (15). Host 1.5.3 (15). 20 + 15 + 0 + 15 + 15 = 65.
Transparency & trust Traycer +5
AXLR 55
Apache-2.0 with a NOTICE (30). No privacy policy or terms on underpassai.com or axlr.underpassai.com; the docs' 'Where data goes' and 'Diagnostics and privacy' sections say that model requests go to OpenRouter, the local server or the native API, that Jev sends text to TypeSafe only when on, that sessions live under $XDG_STATE_HOME/axlr, that payload capture is off by default and redacted when on, and that traces are deleted after 30 days; nothing covers the engine downloads' or the catalog registry's handling of a client's requests (15). No deprecation policy; pre-1.0 changes are dated inline in the docs and the product contract records the 5 October 2026 retirement of the first skill catalogue after the fact (6). No telemetry to disclose, and the docs say in two places what leaves the machine and how to stop payload capture, though no single page says there is no telemetry (17). 30+15+6+17 = 68.
Traycer 60
MIT (30). README privacy section and a linked privacy policy (not read) (18 of 30). CHANGELOG.md, no deprecation policy (10). Analytics described as 'may be enabled', with no opt-out given in the README (8 of 20). 30 + 18 + 10 + 8 = 66.
Score by category
| Category | Weight this run | AXLR | Traycer | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 65 | AXLR +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 80 | 65 | AXLR +15 |
| Agent ergonomics | 13%16.2 | 83 | 65 | AXLR +18 |
| Security & auth | 14%17.5 | 62 | 42 | AXLR +20 |
| Payments & pricing | 10%12.5 | 60 | 30 | AXLR +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 79 | 75 | AXLR +4 |
| Transparency & trust | 7%8.8 | 55 | 60 | Traycer +5 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 70.6/100 | C 57/100 |
Facts side by side
| Fact | AXLR | Traycer |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | Underpass AI | Traycer AI |
| 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.
Traycer
An open-source app for running several coding agents together with shared context, agent-to-agent messaging and team boards, on every desktop OS. Privacy Mode is opt-in for individuals, and the README says Sentry and PostHog may be on in release builds.
Before you call either
AXLR
- Before the first prompt, set
approvals.autonomousto false or run with--approve none, and turnexec_sandbox.modetoautoorrequiredon Linux; after setup both default the other way - Drive a run with
axlr-tui --exec --json --policy <file> --budget <file> --sandbox <file>and read only the lastresultline; exit 3 means a call waits for--decide approve|denywith--session <id> - On the service, send
Idempotency-Key(16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session'sexpected_revision; a reused key with a different body answers 409 - A local model must return native tool calls (llama.cpp with
--jinja, vLLM with--enable-auto-tool-choice); setcontext_tokenson the entry andOLLAMA_CONTEXT_LENGTHfor Ollama - Leave
TYPESAFE_API_KEYunset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe
Traycer
- Turn on Privacy Mode if you're an individual user and don't want prompts logged
- CLI agents you configure send requests straight to their provider; Traycer's own inference goes through Traycer
Questions
Which is better for AI agents, AXLR or Traycer?
AXLR scores 70.6 (BB) on agent readiness against Traycer's 57 (C), and leads in 6 of 7 scored categories. Traycer leads on transparency & trust.
Are AXLR and Traycer open source?
Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Traycer is open source (MIT).
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- AXLR vs Warp (Warp Agent CLI and the Oz Agent API)
- Claude Code vs Traycer
- Cline vs Traycer
- Conductor vs Traycer
- Crush vs Traycer
- Cursor CLI vs Traycer
- DeepSeek Harness (dsh) vs Traycer
- dsh-superagent (DeepSeek) vs Traycer
- Devin vs Traycer
- Droid CLI vs Traycer
- Pi vs Traycer
- Emdash vs Traycer
- Gemini CLI vs Traycer
- GitHub Copilot CLI vs Traycer
- goose vs Traycer
- Harness² vs Traycer
- HarnessRouter vs Traycer
- Jules vs Traycer
- Junie CLI vs Traycer
- Kilo Code CLI vs Traycer
- Kimi Code CLI vs Traycer
- Kiro CLI vs Traycer
- Letta vs Traycer
- mini-swe-agent vs Traycer
- MiniMax Code vs Traycer
- Mistral Vibe CLI vs Traycer
- Muse Code vs Traycer
- OpenAI Agents API vs Traycer
- OpenAI Codex vs Traycer
- OpenCode vs Traycer
- OpenHands vs Traycer
- Orca vs Traycer
- Paseo vs Traycer
- Prime Agent vs Traycer
- Qoder CLI vs Traycer
- Qwen Code vs Traycer
- Mirror CLI vs Traycer
- Rovo Dev CLI vs Traycer
- Sculptor vs Traycer
- T3 Code vs Traycer
- Traycer vs Unstoppable
- Traycer vs Verdent
- Traycer vs Vibe-Trading
- Traycer vs Warp (Warp Agent CLI and the Oz Agent API)
- AXLR vs Clawboo
- AXLR vs CLI Manager
- AXLR vs Harness
- AXLR vs Paperclip
- AXLR vs Parallax
- Clawboo vs Traycer
- CLI Manager vs Traycer
- Harness vs Traycer
- OpenMausBot vs Traycer
- Paperclip vs Traycer
- Parallax vs Traycer
Machine-readable
- This page as Markdown
/compare/axlr-vs-traycer.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/axlr.json·/api/v1/tools/traycer.json - From a terminal
anchor compare axlr traycer(the CLI) - Over MCP
compare_tools {"a": "axlr", "b": "traycer"}at/mcp, no key