AApeireth
Code workflows, especially add memory to ai agents and manage agent context
OOKF Agent Memory
Code workflows, especially add memory to ai agents and manage agent context
AI Finderz score8.5/10
PricingFree
Free planYes
SourceOpen source
OVERVIEW
Last checked: September 12, 2026What OKF Agent Memory is best for
Code workflows, especially add memory to ai agents and manage agent context
OKF Agent Memory is an AI tool for code workflows, especially add memory to ai agents and manage agent context. Sub-300µs, zero-dependency in-memory BM25 search, embedded MCP server, and progressive disclosure for Claude Code, Cursor, Codex, and local LLMs. Standardized on Google OKF v0.2. Verified public information highlights git-native persistent memory for AI coding agents, implements Google OKF v0, 2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure, slashes token bloat by 80% with zero external databases or dependencies. In AI Finderz, the strongest matching use cases are add memory to ai agents, manage agent context, connect mcp tools, build ai agents. The project is publicly presented as open source. The public project is open source. Check the official page for hosted services, support or usage-specific costs. AI Finderz checked the public source on 2026-09-12 and uses the official page as the factual basis for this profile.
AI FINDERZ TAKE
Why consider OKF Agent Memory?
OKF Agent Memory is a strong candidate for add memory to ai agents. The official page was checked before publication and the listing is built from factual product signals rather than a generic category template.
Key features & workflows
✓Git-native persistent memory for AI coding agents
✓Implements Google OKF v0
✓2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure
✓Slashes token bloat by 80% with zero external databases or dependencies
✓Sub-300µs, zero-dependency in-memory BM25 search, embedded MCP server, and progressive disclosure for Claude Code, Cursor, Codex, and local LLMs
✓Standardized on Google OKF v0
Pros
- Git-native persistent memory for AI coding agents
- Implements Google OKF v0
- 2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure
- Open-source code is publicly available
Cons / things to check
- Pricing, usage limits and hosted-plan details can change after this check
- Open-source projects may require technical setup, testing and maintenance before production use
✓
Choose OKF Agent Memory when
Choose OKF Agent Memory when you need add memory to ai agents or manage agent context. Its verified public profile specifically highlights git-native persistent memory for ai coding agents.
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Consider an alternative when
Consider an alternative when you need a different deployment model, integration set, pricing structure or specialist workflow than the capabilities verified on the official page.
PRICING SNAPSHOT
Checked September 12, 2026OKF Agent Memory pricing
ModelFree
Free planAvailable
The public project is open source. Check the official page for hosted services, support or usage-specific costs.
Popular tasks
Use OKF Agent Memory for tasks such as:
RELATED AI PROMPTS
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How AI Finderz ranks this tool
The AI Finderz score is an editorial/catalog score based on task relevance, catalog priority, use-case coverage and manual curation. It is not a user-review rating. Pricing, limits and product features can change, so important purchase decisions should always be checked against the official website.
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Code workflows, especially add memory to ai agents and manage agent context
