recall vs Cognition AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionrecallCognition AI
Target UserClaude Code users needing lightweight, offline memoryEnterprise teams needing autonomous, end-to-end engineering
Core TechnologyLocal TF-IDF + TextRank extractive summarization; no LLM callsAutonomous AI agent with frontier code evaluation and multi-tool integration
IntegrationsClaude Code (plugin)GitHub, Slack, Windsurf IDE, Jira, Linear, Datadog, Android Emulator, Windows VM, VS Code
Key Differentiation100% offline, no data leaves your machine; reduces token waste via context summariesAutonomous PR creation, auto-triage, legacy code modernization, productivity guarantee
Not Suitable ForUsers of AI assistants other than Claude Code; teams needing cloud syncIndividual developers or small teams; simple code completion tasks

Recall and Cognition AI solve opposite ends of the AI-assisted development spectrum. Recall is a cost-free, offline memory plugin for Claude Code that helps solo developers or small teams maintain context across sessions without token waste. Cognition AI's Devin is a heavy-duty autonomous engineer for enterprise teams, capable of planning, coding, testing, and shipping production features with tools like auto-triage and legacy modernization. If you're a Claude Code user wanting persistent context without cloud dependency, Recall is a no-brainer. If you manage large codebases and need an autonomous agent that integrates with your whole toolchain, Devin's freemium model and enterprise guarantees make it worth exploring.

Try recallTry Cognition AI
recall
recall

Recall gives Claude Code fully-local project memory — automatic session logs plus a resume-ready summary, entirely offline.

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Cognition AI
Cognition AI

Cognition's Devin is an autonomous software engineer that plans, writes, tests, and ships merge-ready production code.

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Pricing
Free
Contact Sales
Plans
$0/mo
—
Popularity
2 views
7.3k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLI
WebDesktopAPICLI
Categories
💻 Code & Development🧠 Agent Memory & Runtimes
🛠️ Autonomous Coding Agents
Features
Automatic session logging via Claude Code Stop/SessionEnd hooks
Local extractive summarization using TF-IDF + TextRank (vendored Python)
Generates a compact context.md resume summary (~1-2K tokens)
Append-only history.md log of prompts, replies, files, and commands
/recall:save command for manual checkpoints
Auto-save context on session end via auto_save_context: "on_end"
100% offline — no data leaves your machine, no API key needed
Deterministic facts pulled from transcript and git diff --stat
SessionStart hook surfaces saved context and offers resume
Opencode support via integrations/opencode
Works with a Claude Code subscription and spends zero model tokens on memory
Fenced as untrusted reference data by Claude
Diffable plaintext logs in the .recall/ directory
Cross-platform (Linux, macOS, Windows); open-source under MIT
Custom configuration via recall.config.json; no pip install required
Autonomous planning, coding, testing, and pull request creation inside your repo
SWE-2 coding model launched September 10 2026 at multiple effort levels
SWE-1.7 coding model (July 2026) positioned as frontier intelligence at lower cost
Fusion harness for Fable and Astra models, shipping in Devin Desktop and CLI
Vendor claim of up to 39% efficiency gain on major coding benchmarks with Fusion
FrontierCode 1.1 benchmark scores whether code is actually merge-worthy, not just test-passing
FrontierCode rubric covers correctness, test quality, scope discipline, style, and codebase standards
Auto-Triage for monitored bugs with automated fix pull requests
Security Vulnerability Remediation Program for clearing backlog findings
Session persistence so long jobs survive restarts instead of starting over
Auto-fixes for review comments on open pull requests
Native Windows VMs for cross-platform builds and testing
Android emulator integration for mobile testing in the agent loop
Devin Desktop app plus Windsurf IDE integration
AI Productivity Guarantee with coverage stated up to $10M
Integrations
Claude Code
Opencode
GitHub
GitLab
Bitbucket
Slack
Microsoft Teams
Jira
Linear
Datadog
Windsurf IDE

What real users say: recall vs Cognition AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

recall

133 mentions across 8 sources · 43% positive — mixed (averaged across 8 sources)

Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • • 100% offline and private—no data ever leaves your machine.
  • • Zero ongoing cost beyond your Claude Code subscription.
  • • Lightweight, easy to install via GitHub clone or pip.
  • • Open-source (MIT license) allows customization and auditing.

What frustrates them

  • • Extractive summarization may miss key context from complex sessions.
  • • Only works with Claude Code—no integration with other AI tools.
  • • Name collision with many other 'Recall' products causes confusion.
  • • No active community or dedicated support channels observed.

Researched Jun 22, 2026

Cognition AI

50 mentions across 3 sources · 43% positive — mixed (averaged across 3 sources)

Hacker News, Bluesky, Lemmy

What users praise

  • • End-to-end autonomous planning, coding, and PR creation for enterprise teams.
  • • FrontierCode evaluation ensures merge-worthy code output.
  • • Auto-Triage automates bug monitoring and fix PRs.
  • • Native Windows VM and Android emulator support for cross-platform testing.

What frustrates them

  • • Community feedback is almost nonexistent — little proof of reliability.
  • • Critics question the $10B valuation given unproven adoption.
  • • Political ties to Peter Thiel may deter some users.
  • • Limited transparency on actual customer success stories.

Researched Jul 16, 2026

Who should pick which

  • Solo developer using Claude Code
    Pick: recall

    Recall provides free, offline memory for Claude Code, preserving context across sessions without any cloud dependency or cost.

  • Enterprise engineering team at a Fortune 500 company
    Pick: Cognition AI

    Devin handles autonomous PR creation, bug triage, legacy modernization, and integrates with your existing toolchain (GitHub, Jira, Slack). Backed by a $10M productivity guarantee.

  • Privacy-conscious developer working with sensitive code
    Pick: recall

    Recall runs 100% offline; no data leaves your machine, making it suitable for security-sensitive projects.

  • Platform engineering team needing cross-platform builds
    Pick: Cognition AI

    Devin supports native Windows VM and Android emulator, enabling build and test automation for Windows and Android applications.

  • Small team wanting to reduce token spend on Claude Code
    Pick: recall

    Recall's compact summaries (~1-2K tokens) save token costs by avoiding repeated context re-explanation across sessions.

Frequently Asked Questions

recall vs Cognition AI: which should you choose?

Recall and Cognition AI solve opposite ends of the AI-assisted development spectrum. Recall is a cost-free, offline memory plugin for Claude Code that helps solo developers or small teams maintain context across sessions without token waste. Cognition AI's Devin is a heavy-duty autonomous engineer for enterprise teams, capable of planning, coding, testing, and shipping production features with tools like auto-triage and legacy modernization. If you're a Claude Code user wanting persistent context without cloud dependency, Recall is a no-brainer. If you manage large codebases and need an autonomous agent that integrates with your whole toolchain, Devin's freemium model and enterprise guarantees make it worth exploring.

Does Recall work with AI assistants other than Claude Code?

No, Recall is specifically integrated as a plugin for Claude Code. It is not designed for other AI assistants.

Is Recall really free forever?

Yes, Recall is open-source under MIT license with no paid tiers, no API keys, and no cloud dependencies.

How does Cognition AI's productivity guarantee work?

Cognition AI offers up to $10M AI Productivity Guarantee, ensuring measurable productivity gains from Devin. Details are likely negotiated per enterprise contract.

Can Devin replace a human engineer entirely?

Devin is designed to autonomously plan, code, test, and create PRs, but it is positioned for enterprise teams and likely complements human engineers rather than fully replacing them.

Does Recall require internet access?

No, Recall is completely offline. No data leaves your machine, and no external service is needed.

What integrations does Devin support besides GitHub?

Devin integrates with Slack, Jira, Linear, Datadog, and has native support for Windows VM and Android emulator. Devin Desktop combines Windsurf IDE with cloud agent.

Is Cognition AI suitable for simple code completion tasks?

No, Devin is overkill for simple tasks. Tools like Copilot or Cursor are better for inline code suggestions.

Can I use Recall to share memory across my team?

Recall is per-project local memory. It does not sync across devices or users. For team-shared memory, you'd need to share the .recall folder via version control.

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Explore each tool further

recall
View recall reviewrecall alternatives
Cognition AI
View Cognition AI reviewCognition AI alternatives

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Last reviewed: June 22, 2026