Independent register of AI agents & harnesses · no sponsored placementsEdition 2026-09 · 107 entries · evidence to 26 Sept 2026

Compare / OpenCode vs GitHub Copilot

OpenCode vs GitHub Copilot

OpenCode rates 75 against GitHub Copilot's 72 in this edition. The table lines up every dimension we record; the leading value in each numeric row is marked. Add a third or fourth entry.

Dimension
OpenCodeAnomaly
GitHub CopilotGitHub (Microsoft)
Rating
AgentsWisdom score7572
Confidencehighhigh
Rank in categoryNo. 1 of 16No. 4 of 16
Pillars
Adoption & momentum95100
Experts (independent reviews)7165
Crowd (community sample)5343
Community posts sampled2321
Experts vs crowdCrowd cooler by 17Crowd cooler by 22
Adoption
GitHub stars210kn/e
npm weekly downloads2.2Mn/e
PyPI monthly downloadsn/en/e
VS Code installsn/e78M
Reported users16M50M
Reported customer organisationsn/en/e
Releases, last 90 days42100
Benchmarks (shown, not scored)
Terminal-Bench 2.0No. 36 of 43 · 51.69%
OpenCode + Claude Opus 4.5
not listed
SWE-benchnot listednot listed
Independent reviews97
Trust & safety
Overall gradeBB
Permission modelCB
Data access scopeAA
Data storageAn/e
Data retention & trainingn/eC
Incident historyCn/e
ComplianceDA
TransparencyAB
Price
PriceFree, paid from $10Free, paid from $10
Plans
  • Free (BYOK): Free
  • OpenCode Go: $10 / monthly
  • OpenCode Zen: Custom
  • Enterprise: Custom
  • Free: Free
  • Pro: $10 / monthly
  • Pro+: $39 / monthly
  • Max: $100 / monthly
  • Business: $19 / monthly per user
  • Enterprise: $39 / monthly per user
Product
CategoryCoding agentsCoding agents
MakerAnomalyGitHub (Microsoft)
LicenceMITproprietary
Use it viaCLI, Desktop app, IDE extension, Web appIDE extension, CLI, Desktop app, Web app, Mobile app, Chat apps, API
Runs onmacos, linux, windowsmacos, windows, linux, web
Models it drivesClaude, GPT, Gemini, Kimi, DeepSeek, GLM, Qwen, local models, any OpenAI-compatibleGPT, Claude, Gemini, Grok, Kimi (open-weight), automatic model routing
Key features
  • Terminal UI, desktop app and IDE extension
  • Bring-your-own-key across many providers plus local models
  • Plan and Build agent modes
  • LSP integration
  • Configurable allow/ask/deny permissions per tool, with external_directory scoping
  • Optional session sharing via /share
  • Optional paid model access via OpenCode Zen and OpenCode Go
  • Agent mode in VS Code, Visual Studio and JetBrains with an Agents window and local Dev Container execution
  • Copilot cloud agent: assign an issue, agent works in an ephemeral GitHub Actions environment and opens one pull request per task
  • Copilot CLI terminal agent (npm @github/copilot) with experimental semantic model routing
  • Copilot code review and Autofix on pull requests
  • Copilot app with Jira, Sentry, Slack and Microsoft Teams integrations
  • Assisted approvals and local sandboxing for agent sessions (public preview, Sept 2026)
  • Third-party coding agents (Claude, OpenAI) available on Pro+ and above
  • Token-based GitHub AI Credits billing since June 2026
Verdicts
Praised for
  • Model freedom: one config change to switch provider or run locally (Composio, heyuan110)
  • Low-cost access through the $10 Go plan (Thomas Wiegold; multiple HN users)
  • Works reasonably well across many models out of the box (HN)
  • Broad model choice under one enterprise contract, including open-weight models, is cited as its enterprise advantage (HN, July 2026).
  • Reach and distribution: 50 million users and deep GitHub integration (Microsoft FY26 Q4 call; GitHub discussion users citing GHE integration).
  • Independent reviewers find it pays off for high-volume, well-tested code in mainstream languages (Netguru, Sept 2026).
Criticised for
  • Fast release cadence brings regressions (AICoderScope)
  • High memory/CPU use reported (GitHub Memory Megathread; HN)
  • Repeated serious security advisories in 2026, including unauthenticated command execution
  • Security track record judged weaker than Claude Code (heyuan110)
  • June 2026 move to usage-based AI Credits was widely read as a large effective price increase; many users said they would cancel (HN and GitHub Community, April 2026).
  • Trust damage from Copilot inserting promotional 'tips' into pull requests in March 2026, later withdrawn.
  • Individual-plan interaction data used for model training by default since 24 April 2026 unless users opt out.
  • Real-world suggestion acceptance reported well below GitHub's published figures (Netguru, Sept 2026).
Evidence
Evidence collected26 Sept 202626 Sept 2026
Sources cited85