Control Plane for AI Agents · MCP-native · 19+ integrations

The Control Plane for AI Agents.

Elastra governs how AI agents behave across your entire organization. Define rules, deploy reusable skills, share codebase knowledge, and control costs — enforced at the platform level, not prompt level. Works with every major agent via MCP.

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terminal

# Install Elastra CLI
curl -fsSL https://api.elastra.ai/v1/downloads/install.sh | bash
 
# Authenticate and connect your agents
elastra auth login
elastra init
 
# Your agent now has full codebase context
> "How does auth work in this repo?"
Agent: [searches indexed knowledge]
       → Returns precise, context-aware answer

Works with

CursorGitHub CopilotClaude CodeWindsurfCodexGemini CLIKiroContinueRoo Code+ 10 more →

AI agents forget. Every. Single. Run.

Without persistent context, every session starts from zero. Elastra fixes that.

❌ Without Elastra

Agents re-discover the same code paths each session
No memory of past decisions or conventions
Each agent works in isolation
Context windows fill up with repeated exploration

✅ With Elastra

Agents resume with full indexed context
Past decisions and rules persist across runs
Agents in a pipeline share a single knowledge layer
Retrieval is targeted and token-efficient

One install. Persistent context for every agent.

No framework migration. No rebuilds. Elastra sits beside your existing stack.

Install the CLI

Install the CLI, authenticate, then run `elastra init` to configure all your AI agents automatically.

curl -fsSL https://api.elastra.ai/v1/downloads/install.sh | bash
elastra auth login
elastra init

Connect your repositories

Link GitHub or GitLab repos from the Elastra console. Elastra indexes your codebase and keeps it up-to-date automatically on every push.

# Or via CLI
elastra auth login
elastra init
# → Links this workspace to your Elastra project

Your agents are ready

Every AI agent now has access to your indexed knowledge, shared memory, and project context — via MCP, with no code changes.

> "How does the auth flow work?"
Agent: [elastra_context query]
       → Returns precise, codebase-aware answer
 
> "What conventions do we follow here?"
Agent: [elastra_rules]
       → Returns org-level rules and standards

Everything an AI agent needs to work at full power.

Elastra combines knowledge indexing, memory, rules, and observability in a single MCP-native platform.

Semantic Knowledge Search

Index your repos and docs. Agents retrieve exactly what's relevant — not a wall of text.

Shared Memory Layer

Decisions, conventions, and context persist across sessions and across agents in a team.

MCP Native Integration

Works with any MCP-compatible agent. Install once, available everywhere. No code changes.

Repository Auto-Sync

Connect GitHub or GitLab. Elastra keeps the index fresh on every push via webhooks.

Org-Level Rules & Personas

Define coding conventions and agent behavior at the organization or project level.

Multi-Tenant & Team Ready

Organizations, projects, namespaces. Isolate context by team, service, or environment.

Audit & Observability

Every agent action is logged. Know what your agents remembered and why they acted.

Usage Controls & Billing

SCU-based billing with real-time alerts. Predictable costs — no GPU bills.

Not just another memory tool.

Elastra is purpose-built for AI coding agents — not retrofitted from a chat memory or vector store.

	RAG / Vector DBs	Chat Memory Tools	Elastra
Scope	Documents only	Single conversation	Codebase + docs + memory + rules
Agent awareness	None	Chat-scoped	MCP-native, cross-agent
Memory persistence		Session only	Permanent, org-scoped
Shared state	Manual		Native — agents share one truth
Repository sync	Manual pipelines		Automatic (GitHub / GitLab)
Org-level rules
Setup time	Weeks	Days	Minutes