Frame
An open-source context management platform for AI agents. It addresses context loss, agent scope violations, and documentation drift in AI collaboration by structuring project specifications, decision records, and outcome documents as Markdown files stored in code repositories. It supports an AGENTS.md mechanism to maintain persistent context across sessions.
Timeline (last 90 days)
Frame is an open-source platform built by developer kaanozhan over eight months to address the context loss problem in AI Agents.
Frame was initially developed primarily using Claude, and later switched to Codex.
Frame converts natural language descriptions entered by users into structured spec files containing five fields: problem, goal, constraints, success criteria, and out of scope.
Before writing an execution plan, Frame presents users with unresolved questions for upfront clarification.
Frame generates outcome files that record what was originally planned, what actually happened, and which changes were rolled back.
Frame implements context management via the AGENTS.md mechanism, without using any wrapper layer or requiring manual content pasting.
When creating a new spec, Frame first reads existing specs and explicitly identifies the old decisions it supersedes, thereby preserving the chain of decision evolution.
Frame introduces a freshness check that proactively flags discrepancies when notes and the codebase diverge.
All information in Frame is stored in plain Markdown format within the code repository—readable, version-controllable, and portable, with no proprietary format lock-in.
As an early-stage open-source project built by an individual developer, Frame's maturity and ecosystem still await community validation.
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All Facts (11)
Frame is an open-source platform built by developer kaanozhan over eight months to address the context loss problem in AI Agents.
50%UnverifiedFrame was initially developed primarily using Claude, and later switched to Codex.
50%UnverifiedFrame converts natural language descriptions entered by users into structured spec files containing five fields: problem, goal, constraints, success criteria, and out of scope.
50%UnverifiedBefore writing an execution plan, Frame presents users with unresolved questions for upfront clarification.
50%UnverifiedFrame generates outcome files that record what was originally planned, what actually happened, and which changes were rolled back.
50%UnverifiedFrame implements context management via the AGENTS.md mechanism, without using any wrapper layer or requiring manual content pasting.
50%UnverifiedWhen creating a new spec, Frame first reads existing specs and explicitly identifies the old decisions it supersedes, thereby preserving the chain of decision evolution.
50%UnverifiedFrame introduces a freshness check that proactively flags discrepancies when notes and the codebase diverge.
50%UnverifiedAll information in Frame is stored in plain Markdown format within the code repository—readable, version-controllable, and portable, with no proprietary format lock-in.
50%UnverifiedAs an early-stage open-source project built by an individual developer, Frame's maturity and ecosystem still await community validation.
50%UnverifiedFrame's GitHub repository address is github.com/kaanozhan/Frame.
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