Agents Made Simple, Reliable.
An Agentic AI Platform. Built for Developers.
Runtime
Open-source, event-sourced runtime for long-running agents. Resume, replay, or diff executions across model changes.
Studio
A development environment for Expert creation. Write agents in natural language, test in real time, deploy with confidence.
Gallery
Community-driven collection of ready-to-use Experts. Every agent is audited, every execution is sandboxed.
Architecture for Agentic AI.
Agentic systems are tangled — prompts live in application code, untestable without deploying. Behavior changes require code changes, PRs, and deploys. Domain experts can't touch the prompts. When something breaks, you're reading raw logs.
Open-Source Runtime
Open-source, event-sourced runtime for long-running agents. Resume, replay, or diff executions across model changes.
Toolkit for Developers
Run locally with production-identical isolation. Inspect every tool call, delegation, and checkpoint in detail.
Expert Definitions
Define Experts in natural language. Descriptions, instructions, delegates, skills — all in a single TOML file. No SDK, no glue code.
Fully Reproducible Runs
Every run is a replayable event stream with step-level checkpoints. Pin versions, replay anytime, diff to find drift.
Sandboxed Runtime
Each Expert runs in its own isolated context. Workspace boundaries, environment sandboxing, tool whitelisting — by default.
Cross-Job Analytics
Success rates, token usage, errors, and tool utilization across jobs. CLI and Studio dashboards.
Define. Experts in your words.
Expert definitions in perstack.toml are written by domain experts using natural language. Developers focus on integration, not prompt engineering.
Natural-language definitions
Define Experts with instruction, skills, and delegates. No classes, no boilerplate, no framework to learn.
MCP-native skills
Connect to any MCP server as a skill. GitHub, Slack, databases — your Expert uses real tools, not wrappers.
Multi-provider
Anthropic, OpenAI, Google, DeepSeek, Ollama, Azure, Bedrock, Vertex. Switch providers with one config change.
Describe what you need. We handle the rest.
Perstack generates Expert definitions from your description, tests them against real scenarios, iterates until behavior stabilizes, and reports what they can do.
Run. Same Behavior, Everywhere.
Open-source runtime. Event-derived execution. Deterministic checkpoints.
// observable 24 activity types, real-time
Every tool call, every delegation, every LLM interaction—streamed as structured events. Debug anything.
// isolated Ephemeral VM per job
Each Expert runs in its own isolated context — workspace boundaries, environment sandboxing, and tool whitelisting. No shared state between runs.
// reproducible Lockfile for production
Pin skill versions, provider configs, and Expert definitions. Event-derived execution and step-level checkpoints maintain reproducible behavior.
How Perstack Compares
Build your first Expert in 5 minutes.
Create. Execute. Integrate.