fix: handle 202 Accepted response in demo store method#211
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haifengqiu wants to merge 649 commits into
Closed
fix: handle 202 Accepted response in demo store method#211haifengqiu wants to merge 649 commits into
haifengqiu wants to merge 649 commits into
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Feat/profilev2 See merge request npc-work/aic/ai/evermemos-opensource!61
Feat/update demo See merge request npc-work/aic/ai/evermemos-opensource!62
Use self-deployed embedding and rerank APIs by default See merge request npc-work/aic/ai/evermemos-opensource!64
vLLM Rerank API adopts an instruction-tuned approach See merge request npc-work/aic/ai/evermemos-opensource!65
Update EverMemOS: optimize search perf, improve skill search
chore: add devcontainer configuration and development tooling
Fix/unify port in demo and docs to the default 1995
Update the GitHub asset URLs for all banner images to ensure they point to the correct and current locations. This includes fixing a typo in a section title from "LAI Wearable" to "AI Wearable".
Update the asset IDs for the banner GIFs in the README to point to the correct new assets.
…ind-AI#186) * feat: add game of throne demo and claude code plugin use cases Add two new use cases to the repository: 1. Game of Thrones Story Memory Demo - A full-stack web application demonstrating EverMem's memory capabilities through a side-by-side comparison interface for book Q&A 2. Claude Code Plugin - A memory plugin for Claude Code that automatically stores and retrieves context from past coding sessions The demo includes React frontend, Express backend, Docker configurations, and novel loading scripts. The plugin provides hooks for automatic memory injection and search capabilities. * docs: update readme links to use relative paths for use cases
Update the banner image URL in the README file to point to the new asset location.
…erMind-AI#192) server.ts used 8001 but the EverMemOS server default is 1995. This broke local demo runs unless EVERMEMOS_URL was manually set. Fixes EverMind-AI#28 Co-authored-by: pazyork <pazyorkcc@gmail.com>
Skip tool call/response msg in profile generation
* feat(use-cases): add OpenHer persona engine with EverMemOS integration OpenHer is an AI Being engine that creates personas with emergent personality, emotional thermodynamics, and long-term memory. EverMemOS integration: - 4D relationship vector (depth, valence, trust, foresight) expands neural network perception from 8D to 12D - Async two-stage memory retrieval (fire on Turn N, collect on Turn N+1) with 500ms timeout + graceful fallback - Semi-emergent relationship EMA blending EverMemOS priors with LLM-judged deltas per turn - Fire-and-forget turn storage via asyncio.create_task Includes: - README with architecture diagrams and integration walkthrough - Runnable demo with simulation mode (no EverMemOS needed) - Core integration code: mixin, types, context features - .env.example with placeholder values Repo: https://github.com/kellyvv/OpenHer * docs: rewrite README — storytelling style, emotion-first * docs: English README, storytelling style, no emoji * rename: openher-persona-engine → openher --------- Co-authored-by: kellyzxiaowei <129767595+kellyzxiaowei@users.noreply.github.com>
* chore: rename project from evermemos to EverCore This commit renames the project directory and updates all internal references from "evermemos" to "EverCore". The changes include: - Renaming the main directory from `methods/evermemos` to `methods/EverCore` - Updating all import paths and module references - Maintaining the same code structure and functionality - Adding new configuration files (.vscode/settings.json, .pylintrc, pyrightconfig.json) - Updating Dockerfile and project metadata * docs: update references from evermemos to EverCore Update documentation files to reflect the renaming of the 'evermemos' directory to 'EverCore'. This includes fixing clone commands, directory paths, and documentation links across multiple files to ensure consistency and correct navigation for users. * chore: rename EverMemOS to EverCore across codebase This is a project-wide rebranding from EverMemOS to EverCore. The changes include: - Update project name in source files, documentation, and configuration - Rename API references, environment variables, and service names - Modify demo descriptions and benchmark configurations - Update URLs and citations to reflect new project identity All functionality remains identical; only naming has changed to align with the new project branding. * docs: update README with EverCore focus and restructured TOC - Add line break before Table of Contents for better visual separation - Rewrite project description to highlight EverCore as the central component - Reorder directory tree to prioritize benchmarks and methods over use-cases - Update use-cases list with more examples and clarify they are templates - Improve flow from Quick Start to use-cases to benchmarks * docs: update README with clearer methods description and benchmarks Add benchmark numbers directly in the method summaries for better visibility. Clarify introductory text to emphasize choice and composition of methods. * docs: fix markdown formatting in README table of contents Adjust whitespace and line breaks to ensure proper rendering of the collapsible table of contents section.
…d-AI#204) - Replace specific EverMemBench-Dynamic badge with general EverMind-AI HuggingFace badge - Remove redundant License badge - Change "Methods" section heading to "Architecture Methods" - Update sub-section headings from h4 (####) to h3 (###) for better hierarchy
…rMind-AI#208) * docs: restructure README and add AGENTS.md for better navigation - Reorder sections to emphasize architecture methods and use cases - Move use cases section before quick start for better flow - Rename "Methods" to "Architecture Methods" for clarity - Add AGENTS.md with quick commands and key entry points - Update section headers to improve document hierarchy - Maintain all existing content while improving organization * docs: add community and contribution files * docs: reorder README directory tree for logical grouping * docs: move community files to .github/ and update references * ci: change deploy workflow trigger from feature branch to main
When background mode is enabled (the default), the memorize endpoint returns HTTP 202 Accepted. The current code calls raise_for_status() then unconditionally parses the response as a v1 completion response, but a 202 response body lacks the expected "data.status" field, causing store() to report failure even though the request was accepted. Add an explicit 202 check after raise_for_status() to return success when the request has been queued for background processing. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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…#78 slice scope Captures the targeted upstream recheck: issues EverMind-AI#191/#93/#78 still open; PRs EverMind-AI#185/EverMind-AI#211 BLOCKED; #89/#109/EverMind-AI#138 DIRTY. Marks local current-tree slice as superseding EverMind-AI#185/EverMind-AI#211/EverMind-AI#138/#109 in PR_MATRIX. Narrows the return-slice scope in goal.md and updates owner-brief priorities. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…#78 slice scope Captures the targeted upstream recheck: issues EverMind-AI#191/#93/#78 still open; PRs EverMind-AI#185/EverMind-AI#211 BLOCKED; #89/#109/EverMind-AI#138 DIRTY. Marks local current-tree slice as superseding EverMind-AI#185/EverMind-AI#211/EverMind-AI#138/#109 in PR_MATRIX. Narrows the return-slice scope in goal.md and updates owner-brief priorities. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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…#78 slice scope Captures the targeted upstream recheck: issues EverMind-AI#191/#93/#78 still open; PRs EverMind-AI#185/EverMind-AI#211 BLOCKED; #89/#109/EverMind-AI#138 DIRTY. Marks local current-tree slice as superseding EverMind-AI#185/EverMind-AI#211/EverMind-AI#138/#109 in PR_MATRIX. Narrows the return-slice scope in goal.md and updates owner-brief priorities. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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When background mode is enabled (the default), the memorize endpoint returns HTTP 202 Accepted. The current code calls raise_for_status() then unconditionally parses the response as a v1 completion response, but a 202 response body lacks the expected "data.status" field, causing store() to report failure even though the request was accepted.
Add an explicit 202 check after raise_for_status() to return success when the request has been queued for background processing.
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