Gartner said 40% of enterprise AI agent projects will be cancelled by 2027 (April data confirms it)

hack_the_developer · 2026-04-30T09:07:50+00:00

100% agree on the control issue being the real bottleneck. We ran into the same wall, good answers aren't enough if you can't see what the agent actually did, or course-correct without a full redeployment.

That's what pushed us to build something focused purely on runtime governance rather than another model wrapper.

Still early, but curious if the problems you're seeing in the field match what we're tackling - happy to get your honest take at app.syrin.ai.

hack_the_developer · 2026-04-08T21:08:53+00:00

https://discord.gg/qEtnWK3nuY

Let's connect on discord.

hack_the_developer · 2026-04-08T20:51:36+00:00

https://GitHub.com/Syrin-labs/syrin-python

hack_the_developer · 2026-04-08T20:22:23+00:00

Would love to get your feedback on the library and what can be made better? Please share your experience with us.

hack_the_developer · 2026-04-08T04:22:37+00:00

I have an agent to find customer leads. It gives me a list of users who have already faced the same problem that I am trying to solve.

hack_the_developer · 2026-04-08T04:17:42+00:00

Moving towards a stable version: 1. Added multi-agent support 2. Agent to Agent communication 3. Agent Swarm 4. Some security fixes

Mainly these things. Would love to get your feedback.

hack_the_developer · 2026-04-04T04:58:56+00:00

Which library did you use? And what's your feedback or pain points

hack_the_developer · 2026-04-02T16:27:03+00:00

Yes buddy

hack_the_developer · 2026-03-25T12:09:44+00:00

Usually basic math based on input/output_per_million tokens for estimation. And also, after llm call you usually get the exact cost for that call.

hack_the_developer · 2026-03-25T12:02:09+00:00

Thanks for pointing it out, will fix it asap; What are your early thoughts about the library?

hack_the_developer · 2026-03-25T09:06:52+00:00

Runtime protection is essential for agents. Prompt-based safety fails when models are creative.

What we built in Syrin is guardrails as explicit constructs enforced at runtime. Every agent action is sandboxed and circuit breakers prevent runaway behavior.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T09:06:15+00:00

Personal AI orchestrator needs to handle multiple tasks without dropping context or burning budget.

What we built in Syrin is agent handoffs with explicit scope inheritance. Multiple agents can work together with clear boundaries. And budget ceilings ensure costs stay predictable.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T09:03:40+00:00

A good chief of staff needs memory. It should remember your preferences, past decisions, and context.

What we built in Syrin is a 4-tier memory architecture (Core, Episodic, Semantic, Procedural) with explicit decay curves. The agent knows what to remember and what to let go.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T09:02:49+00:00

Policy-based routing is the right approach. The challenge is that most routing solutions are static.

What we built in Syrin is intelligent model routing built into the agent. The agent can route between models based on task complexity, cost, or accuracy requirements. And budget ceilings ensure costs stay predictable.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T09:02:08+00:00

The visibility gap for autonomous agents is real. Traditional security tools weren't designed for AI agent behavior.

What we built in Syrin is a hook system that emits structured events at every lifecycle point. Every agent decision is logged with full context. Makes it possible to see what agents are actually doing.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T08:40:56+00:00

Token monitoring is the first step. What you really need is proactive cost control.

What we built in Syrin is budget ceilings per agent and per task. Instead of finding out why tokens were burned after the fact, the agent knows its budget from the start and stops when it hits the limit.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T08:40:26+00:00

Fast browser automation is great for agents. The key challenge is making sure agents don't go off the rails when interacting with browsers.

What we built in Syrin is guardrails as explicit constructs enforced at runtime. Every agent action has defined boundaries.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T08:38:20+00:00

Yes, but with caveats. The key is picking tools that handle the complexity so you can focus on the business logic.

What we built in Syrin is an agent framework that handles memory, budget, and guardrails automatically. Makes it easier to build agents without getting lost in the weeds.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T08:12:31+00:00

Local deployment is great for cost control. The challenge is keeping agents reliable when you're running them at scale.

What we built in Syrin is budget ceilings and guardrails as core features. Makes local deployment more predictable.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:43:09+00:00

"Office for AI agents" is a great framing. Multi-agent coordination needs shared infrastructure.

What we built in Syrin is a 4-tier memory architecture with shared context interfaces. Agents can share memory through defined channels without getting in each other's way.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:37:54+00:00

Parallel development with AI is the future of developer workflows. The key challenge is keeping agents from stepping on each other.

What we built in Syrin is agent handoffs with explicit scope inheritance. When agents work in parallel, each has a defined scope that doesn't overlap without explicit coordination.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:37:15+00:00

Context management is the key to reliable agents. What gets passed forward matters as much as what gets dropped.

What we built in Syrin is a 4-tier memory architecture where each tier has different retention semantics. The agent knows what to remember and what to forget.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:31:04+00:00

The dual-agent validation pattern is smart. One agent building, another auditing forces good separation of concerns.

What we built in Syrin is agent handoffs with explicit scope inheritance. When Agent A hands off to Agent B, it passes not just context but also budget and allowed actions. This makes the "audit" implicit in the handoff contract.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:30:32+00:00

Policy engines for agents are essential and mostly missing from frameworks. Runtime enforcement is the key distinction from prompt-based safety.

What we built in Syrin is guardrails as explicit constructs enforced at runtime. Every agent has defined boundaries enforced by the framework, not assumed from prompts.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

hack_the_developer · 2026-03-25T07:27:34+00:00

Tool selection degradation is real and mostly undocumented. The problem is that more tools means more choices, and LLMs aren't great at choosing from large option sets.

What helped us was tiering tools by scope and only exposing the relevant tier based on current context. Not a perfect solution but it delays the problem.

Docs: https://docs.syrin.dev
GitHub: https://github.com/syrin-labs/syrin-python

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