Agno vs Sourcegraph Cody

A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.

Short answer: choose Agno if you want high-performance python framework for multi-agent systems (Supervised agent, freemium); choose Sourcegraph Cody if you want enterprise ai coding assistant grounded in sourcegraph's code graph (Copilot, enterprise).

AgnoSourcegraph Cody
What it isHigh-performance Python framework for multi-agent systemsEnterprise AI coding assistant grounded in Sourcegraph's code graph
Typeframeworkproduct-with-agents
AutonomySupervised agentCopilot
Pricingfreemiumenterprise · Enterprise; reported from $59/user/mo (no free/pro tier)
Best fordevelopers, smb, enterpriseenterprise
Deploymentself-hosted, apisaas, self-hosted
Modalitiestext, code, api, imagetext, code
Modelsmodel-agnostic, open-sourcemodel-agnostic
Protocolsfunction-calling, mcp, rest-apifunction-calling, rest-api
IntegrationsOpenAI, Anthropic, Google, Ollama, pgvector, QdrantVS Code, JetBrains, GitHub, GitLab, Bitbucket
Capabilities4 documented3 documented

Agno

  • +Strong performance focus (fast instantiation, low memory) with a clean Python API
  • +Clear path from prototype to production via the AgentOS runtime
  • +Broad model, vector-DB, and tool coverage, all self-hostable
  • -Python-only
  • -Younger and smaller ecosystem than LangChain
Full Agno profile

Sourcegraph Cody

  • +Grounded in Sourcegraph's code graph for whole-codebase context
  • +Strong fit for orgs already using Sourcegraph code search
  • +Enterprise security and self-hosted options
  • -Free and Pro tiers were discontinued in 2025; now enterprise-only
  • -Individual/agentic developer use was pushed to a separate product (Amp)
Full Sourcegraph Cody profile

Which should you choose?

Agno is high-performance python framework for multi-agent systems, best for developers, smb, enterprise. Sourcegraph Cody is enterprise ai coding assistant grounded in sourcegraph's code graph, best for enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.