MiroThinker

MiroThinker is positioned as a long-horizon, tool-augmented deep research agent family (with multiple parameter sizes) intended for complex research and prediction tasks, with model variants released on Hugging Face and an online demo (dr.miromind.ai).

Evaluated Mar 29, 2026 (0d ago)
Homepage ↗ Repo ↗ Ai Ml ai-ml agent deep-research research-agent tool-use python
⚙ Agent Friendliness
29
/ 100
Can an agent use this?
🔒 Security
10
/ 100
Is it safe for agents?
⚡ Reliability
18
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
20
Error Messages
0
Auth Simplicity
100
Rate Limits
0

🔒 Security

TLS Enforcement
0
Auth Strength
0
Scope Granularity
0
Dep. Hygiene
30
Secret Handling
30

The provided content does not describe security controls (TLS/auth), secret handling practices, dependency scanning, or threat model. Given the agentic nature (tool use and long-context), risks like prompt injection/tool misuse and data leakage are plausible, but no mitigations were evidenced in the supplied README/metadata.

⚡ Reliability

Uptime/SLA
0
Version Stability
50
Breaking Changes
0
Error Recovery
20
AF Security Reliability

Best When

You want a research-oriented agent model/implementation and are comfortable integrating it yourself (likely via model hosting/runtime) rather than relying on a formal service API.

Avoid When

You need a documented, programmatic API with clear auth, rate limits, and structured errors for agent orchestration.

Use Cases

  • Deep research workflows requiring multi-step reasoning and tool use
  • Forecasting/prediction tasks in research settings
  • Benchmark-driven evaluation of agentic long-context tool use (e.g., BrowseComp, GAIA, FutureX)

Not For

  • Security-sensitive production deployments without additional verification and hardening
  • Applications needing a well-defined stable REST/SDK/API contract (not evidenced in provided content)
  • Use as a drop-in service with guaranteed uptime/SLA (not evidenced)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

No authentication method details, token formats, or scope model were provided in the supplied README/metadata content.

Pricing

Free tier: No
Requires CC: No

Pricing for the online demo or hosted service is not provided in the supplied content. Model hosting costs depend on your inference setup; no official cost breakdown is evidenced here.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Long-horizon, tool-heavy agents may perform many tool calls per task (hundreds), which can amplify latency, cost, and failure propagation if tools are flaky.
  • No operational guidance (timeouts, retry/backoff, idempotency, tool error semantics) was provided in the supplied content.

Alternatives

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Scores are editorial opinions as of 2026-03-29.

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