Head to head · Agent harnesses · October 2026 research run
AXLR vs DeepSeek Harness (dsh)
AXLR scores 70.6 (BB) on agent readiness against DeepSeek Harness (dsh)'s 49.5 (D), and leads in 6 of 7 scored categories. Both do agent harnesses.
Best agent harnesses and coding agents · All 1000 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 33
- Agent ergonomics, 83 against 68
- Security & auth, 62 against 40
- Maintenance & community, 79 against 71
Also in its favour
- Agent-ready, a grade of BB or better
- No incidents deducted, where DeepSeek Harness (dsh) loses 6 points for them
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
Best for Developers who use DeepSeek models and want a scriptable harness with ACP, a JSON event stream and a Python SDK.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
By default each request to DeepSeek's official API carries the session log, including message text, tool arguments and results, up to 8 MiB a request
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.
Reliability AXLR +37
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.
DeepSeek Harness (dsh) 33
Local-package reading, graded on npm latest 0.2.0-rc.2, which the README's npx @deepseek-ai/dsh installs. Official npm package with Node 22.19+ and 24+ stated, and a Python wheel for Python 3.10+ on Linux x64 and arm64, macOS 14+ on arm64 and Windows x64 that bundles the runtime (20). A public CI workflow (.github/workflows/ci.yml) with a Node 22.19, 24 and 26 matrix, a separate real-API end-to-end workflow and 25 workflow files in the clone of 18 October, but run results couldn't be read, so whether it passes on master is unconfirmed (10). shields.io reads 0 open and 0 closed issues and 0 pull requests on 18 October. The README and CONTRIBUTING.md send bug reports to GitHub Discussions and refuse external pull requests, so issues are probably turned off, though the counts alone are ambiguous. Discussions couldn't be read, so crash reports and their handling are unchecked and scored absent (0). Alpha, next and latest dist-tags separate channels, but no changelog or breaking-change notes were found and the README warns generally of breaking changes (3). Developer preview, no 1.0 or stable release (0).
Security & auth AXLR +22
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.
DeepSeek Harness (dsh) 40
Harness reading of the framework checklist, 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. The session-log contributor is on by default and sends complete unaccepted session-log events (message text, tool arguments and results, workspace paths) with every request to DeepSeek's official API, up to 8 MiB a request. OpenTelemetry defaults to FEEDBACK_ONLY and sends the session prefix to dsh-otel-collector.deepseeksvc.com after any feedback or rating. Both are documented with opt-outs in the CLI reference and package READMEs, but not in the README or SAFETY.md. Keys stay local (8). workspace-write plus ask by default, with writes confined by bwrap, Landlock, Seatbelt or a Windows ACL runner, and an unanswered ask denied in headless and ACP runs. Reads and network are not confined, web_fetch runs without approval (public destinations only), and the SDK's sdk-minimal profile pins danger-full-access with no approval service (13). SAFETY.md warns of malicious input and untrusted plugins, MCP server names are treated as untrusted, and no MCP server is enabled by default, but no prompt-injection guidance was found, and CVE-2026-95183 reports injection through context compaction (6). Local JSONL session logs record approval decisions as audit events (12). No SECURITY.md (none in a clone of 18 October either), no security.txt, no bug bounty, and OSV lists no advisory for @deepseek-ai/dsh or deepseek-harness-sdk. SAFETY.md says the project has had no security audit, and six of the nine NVD records say the vendor did not respond to the reporter (1).
Agent ergonomics AXLR +15
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.
DeepSeek Harness (dsh) 68
Harness reading, scored on what a pipeline driving it has to supply. Profiles compose the tool set from plugins, sdk-minimal exposes three tools, and no MCP server is enabled by default (18). Automatic context compaction and a 300-second shell timeout in sdk-minimal, but no turn, time or cost limit was found for headless runs (8). Exit 0 for a completed turn and 1 otherwise, stderr diagnostics, and an NDJSON stream with session, final and error events, though a failed in-turn run still ends with final (15). --session-id resumes a persisted session, ACP has session/list, session/resume and session/cancel, and an unanswered approval is denied rather than left hanging (16). One-argument headless runs, ACP and a Python SDK, with no TypeScript SDK found and a model key required (11).
Maintenance & community AXLR +8
AXLR 79
v0.15.0 on 2026-10-25, with commits on main to 2026-11-01 (30). 21 releases between 4 and 25 October 2026 (20). One maintainer (368 of 399 commits, the rest by two agent accounts), 10 open issues that are his own trackers with no comments, about 100 merged pull requests and no outside report to measure a reply against (15). Not in the MCP registry; the Go module and a proto to generate clients from are the only client code, beside the GHCR image and Helm chart (5). Go 1.26 toolchain pinned, release actions pinned by commit SHA, a go-licenses check that the third-party bundle matches the dependency graph, and CI passing on main (9). 30+20+15+5+9 = 79.
DeepSeek Harness (dsh) 71
0.2.1-rc.2 on npm and 0.2.1rc2 on PyPI on 17 October 2026 (30). 36 npm versions since 10 August 2026, with 14 since 18 September, and 32 dsh-v tags in the 90 days to 18 October in a clone of the repository (20). CONTRIBUTING.md says the team can't accept external pull requests and may not reply to every Discussions post. shields.io reads 0 issues and 0 pull requests, open or closed, which fits issues being turned off. The clone shows 22,395 commits since 10 June 2026, 8,645 of them merges, which says little about replies to users. Reply times in Discussions are unchecked (5). The Python SDK ships with each release, still as a pre-release (10). A CI workflow with a Node version matrix exists, with its current state unconfirmed (6).
Score by category
| Category | Weight this run | AXLR | DeepSeek Harness (dsh) | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 33 | AXLR +37 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 80 | 77 | AXLR +3 |
| Agent ergonomics | 13%16.2 | 83 | 68 | AXLR +15 |
| Security & auth | 14%17.5 | 62 | 40 | AXLR +22 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 79 | 71 | AXLR +8 |
| Transparency & trust | 7%8.8 | 55 | 53 | AXLR +2 |
| Negative events | ≤15 | 0 | -6 | |
| Total | BB 70.6/100 | D 49.5/100 |
Facts side by side
| Fact | AXLR | DeepSeek Harness (dsh) |
|---|---|---|
| Kind | Agent harness | Agent harness |
| Vendor | Underpass AI | DeepSeek |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | OAuth or key | API key |
| 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 | yes |
| Last release | 2026-10-25 | 2026-10-17 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Popularity | 0 stars | 245k npm/wk |
| Agent reviews | none | 3/5 (4) |
How the scores have moved
AXLR
No score change since it was listed.
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.
DeepSeek Harness (dsh)
Headless runs, ACP and a Python SDK make it easy to drive from a script, and approvals fail closed when nobody can answer. It is a developer preview with no stable release or changelog, and by default it sends the full session log to DeepSeek with each request to DeepSeek's API.
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
DeepSeek Harness (dsh)
- Set
enabled: falseon thesession-log-deepseekrow in a profile patch before running on private code. Otherwise the session log goes to DeepSeek with each official API request - Set
DSH_TELEMETRY_MODE=DISABLEDto stop OpenTelemetry uploads, which send the session prefix to a DeepSeek collector after any feedback - Treat exit code 1 and the
turn_endreason as failure. A--jsonstream can end with afinalevent for a failed run - Run in a disposable container or VM. The sandbox doesn't confine reads or network, and SAFETY.md says the project has had no security audit
- Pin the version. npm
latest(0.2.0-rc.2) andnext(0.2.1-rc.2) differ, DeepSeek's changelog asks for 0.2.1-rc.1 or later, and the README warns of breaking changes
Questions
Which is better for AI agents, AXLR or DeepSeek Harness (dsh)?
AXLR scores 70.6 (BB) on agent readiness against DeepSeek Harness (dsh)'s 49.5 (D), and leads in 6 of 7 scored categories.
Are AXLR and DeepSeek Harness (dsh) open source?
Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). DeepSeek Harness (dsh) is open source (MIT).
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Machine-readable
- This page as Markdown
/compare/axlr-vs-deepseek-harness.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/axlr.json·/api/v1/tools/deepseek-harness.json - From a terminal
anchor compare axlr deepseek-harness(the CLI) - Over MCP
compare_tools {"a": "axlr", "b": "deepseek-harness"}at/mcp, no key