AgentClash
agentclash.dev
What it is
AgentClash is an open-source platform for evaluating AI agents on real tasks. It runs each agent in a fresh Firecracker microVM with isolated files and network, then removes the sandbox after the run. Multi-turn evaluations score tool choices, cost, latency, recovery, and final outcomes. YAML challenge packs define tools, policies, scoring rules, and starting state; available tools include file operations, data queries, HTTP, shell, and test runners. Scoring can combine deterministic, mathematical, behavioral, and language-model judges with configurable weights and consensus. Failed runs can become permanent regression tests. CI/CD checks run through GitHub Actions, webhooks, or the CLI and can fail builds when correctness, cost, latency, or evidence regresses. Adapters cover OpenAI, Anthropic, Gemini, xAI, Mistral, and OpenRouter. It offers API, web, and self-hosted use. Pricing is freemium: Free, or paid from $39/mo (annual).
Spec sheet
- Purpose
- AgentClash is an open-source AI-agent evaluation platform that runs agents on real tasks, scores outcomes, replays steps, and turns failures into regression tests.Read 1 Oct 2026 · agentclash.dev
- Integrations
- CI/CD integrations can run regression tests from GitHub Actions, a webhook, or the CLI and fail builds when correctness, cost, latency, or required evidence regresses.Read 1 Oct 2026 · agentclash.dev
- Security
- API keys, database credentials, and OAuth tokens are stored in a scoped secret vault and injected at tool-call time without appearing in prompts, traces, or replays.Read 1 Oct 2026 · agentclash.dev
- Agent evaluation
- It evaluates multi-turn agents that take actions in a real sandbox and scores tool choices, cost, latency, recovery, and the final result.Read 1 Oct 2026 · agentclash.dev
- Documentation
- The public documentation covers the CLI, local stack, Fleet eval sets, datasets, regression gates, multi-turn human takeover, security stress harnesses, and runtime components.Read 1 Oct 2026 · agentclash.dev
- Knowledge sources
- Knowledge sources include PDFs, wikis, Notion, codebases, and custom APIs, with provenance attached to retrieved facts.Read 1 Oct 2026 · agentclash.dev
- Open source and hosting
- AgentClash is MIT licensed, can be self-hosted as a full stack, or used against the hosted backend; its CLI installs from npm as the agentclash package.Read 1 Oct 2026 · agentclash.dev
- Providers
- First-class adapters support OpenAI, Anthropic, Gemini, xAI, Mistral, and OpenRouter, with more than 300 models available through OpenRouter.Read 1 Oct 2026 · agentclash.dev
- Regression loop
- When a model fails a challenge, AgentClash freezes the failing trace into a permanent test that future evaluations replay.Read 1 Oct 2026 · agentclash.dev
- Sandboxing
- Each agent runs in a fresh Firecracker microVM with an isolated filesystem and network, and the sandbox is torn down after the run.Read 1 Oct 2026 · agentclash.dev
- Scoring
- Runs combine deterministic, mathematical, behavioural, and LLM-based judges with configurable consensus aggregation and weights.Read 1 Oct 2026 · agentclash.dev
- Tools
- Agents can use file I/O, data queries, HTTP, shell, and test runners, with declarative YAML challenge packs defining tools, policy, scoring, and starting state.Read 1 Oct 2026 · agentclash.dev
- Workloads
- The product is positioned for coding, research, SRE, multi-step operations, codebase question answering, and support workloads.Read 1 Oct 2026 · agentclash.dev
Plans and prices
Strong points and limits
Strong points
- Fresh isolated Firecracker microVM for every run
- Scores cost, latency, recovery, and final results
- Supports multiple model providers and OpenRouter
- Failed traces become replayable regression tests
- CI integrations can fail regressing builds
Limits
- Free plan allows 25 evaluation runs monthly
- Free plan requires your LLM API key
- Free plan requires your E2B sandbox token
Who it suits
AgentClash suits teams evaluating multi-step agents for coding, research, SRE, operations, support, or codebase question answering. It also fits organizations needing self-hosting, regression gates, and CI integration.
Verdict
AgentClash combines sandboxed multi-turn evaluation with configurable scoring and regression testing. Its free tier provides a defined starting point, while hosted and self-hosted options cover different deployment needs.
Where Specifiction places it
- AI Agent Evaluation Tools#10 of 288.5