Production Agent Infrastructure. Already Built.
Gibson is the opinionated, production-grade agent framework that lets your team skip straight to shipping. Memory, knowledge graphs, orchestration, observability — the hard problems are already solved. Deploy in your cluster. Build agents in hours, not months.
Why Gibson Exists
Everyone else is figuring it out as they go. Gibson has already made the hard decisions — memory tiers, tool distribution, checkpoint/resume, auth, observability. Skip 6-12 months of wrong turns.
Not just tooling. It's "here's how production agents should be built" made tangible. Point your team at the skeleton repo and they're building the right way immediately.
Behind the firewall, in your cluster, touching your internal systems. The architecture isn't compromised by cloud hosting constraints. Real network access. Real targets.
What Your Team Doesn't Have to Build
Every team building agents hits the same walls. Gibson already solved them:
- ✓ Three-tier memory - Working memory, mission memory, long-term semantic recall. Not another "just use a vector DB" hack.
- ✓ Knowledge graph - Neo4j-backed entity storage that compounds across runs. Agents learn from what previous agents discovered.
- ✓ Mission orchestration - DAG-based workflows with LLM-driven scheduling, checkpoint/resume, and human-in-the-loop approvals.
- ✓ Multi-LLM abstraction - Declare what you need as slots. Swap Claude, GPT, Gemini, Ollama without code changes. Failover built in.
- ✓ Full observability - OpenTelemetry tracing, Prometheus metrics, Langfuse LLM debugging. See every decision your agent makes and why.
- ✓ Distributed tool execution - Proto-based tools with Redis queues. Horizontally scalable, fault-isolated, type-safe.
go get github.com/zero-day-ai/sdk@latest
TypeScript and Python SDKs coming soon.
How It Works
Define what your agent does: the reasoning, the tools, the systems it connects to. The SDK gives you the harness — LLM access, memory, graph, tool execution — so your agent code stays clean.
Agents run in your Kubernetes environment. CI/CD jobs or always-on services. Full network access to internal systems. Your data never leaves your infrastructure.
Memory, knowledge graph, mission coordination, and observability. Runs in our SaaS or fully on-prem in your infrastructure.
Your Infrastructure. Your Control.
Gibson deploys on your cluster. Same SDK, same agents, behind your firewall. No architecture compromises.
- ✓ Air-gapped and classified environments
- ✓ FedRAMP, ITAR, HIPAA, NYDFS ready
- ✓ Your data never leaves your network
- ✓ Bring your own LLM: Claude, GPT, Gemini, or local models via Ollama
- ✓ OIDC/SSO with Okta, Azure AD, Auth0 — or Kubernetes ServiceAccount auth
What Teams Build With Gibson
Security Automation
Autonomous agents that map attack surfaces, detect vulnerabilities, correlate findings, and accumulate knowledge across engagements. Where Gibson was battle-tested.
Infrastructure Operations
Agents that discover your APIs, audit configurations, map architecture drift, and keep documentation in sync with reality. Automatically.
Compliance Automation
Gather evidence, validate controls, generate audit-ready reports. SOC 2, PCI-DSS, HIPAA: continuous and autonomous, not annual and manual.
Incident Response
Correlate logs, diagnose issues, draft the fix. Agents that start working the problem before you get paged.
Code Operations
Scan repositories for secrets, write remediation PRs, enforce policy. Agent finds the problem, writes the fix, opens the MR. You approve.
Anything You Can Define
An agent is just code with reasoning, memory, and tools. If you can describe the workflow, you can build the agent. The infrastructure is the same.
What the SDK Gives You
Agent Harness
Single interface to LLMs, tools, memory, and knowledge graph. Your agent logic stays clean. Gibson handles the wiring.
Multi-LLM Support
Claude, GPT-4, Gemini, Ollama. Declare LLM requirements as abstract slots. Swap providers without code changes.
Three-Tier Memory
Working memory for task state. Mission memory for persistence. Long-term memory with vector search for semantic recall.
Knowledge Graph
Neo4j-backed entity storage. Agents accumulate knowledge across missions. Query relationships, not just documents.
Tools and Plugins
Proto-based tools with Redis distribution. Plugins for GitHub, GitLab, ServiceNow. Build your own in any language.
Full Observability
OpenTelemetry tracing, Langfuse for LLM debugging. See every decision your agent makes and why.
Get Started
Stop Building Agent Infrastructure From Scratch
30 minutes to map your use case to Gibson. We'll show you exactly what your first agent looks like — and everything you don't have to build.
Book Architecture Session