KarmaloopAI / Jiva

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

Кожна точка охоплює 2 днів.

Повний розв'язаний набір залежностей із графа залежностей GitHub: 26 прямих і 385 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

Встановлення npm:jiva-core@0.3.51 тягне 365 пакетів, прямих і транзитивних: 3 мають відомі сповіщення, з них 0 — прямі залежності.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

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      "description": "Jiva is a CLI-first, open source autonomous AI agent and open alternative to Claude. Written in TypeScript with native support for Sarvam-105B and gpt-oss-120b, it autonomously plans and executes tasks from your terminal. Supports MCP servers, a built-in Skills system, and Jiva Personas - a plugin framework fully compatible with Claude Plugins.",
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          "body": "v0.3.51: detailed tool-call argument logging in Code mode",
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          "headline": "Merge pull request #56 from KarmaloopAI/develop",
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          "body": "CodeAgent's \"Tool: <name>\" log line now includes the actual call\narguments (path, command, etc.), truncated per-value at 500 chars, so\nthe CLI, HTTP interface logs, and any embedding consumer (e.g. Jivam)\ncan show what a tool call actually did instead of just its name.\n\nAlso fixes a real, independen\n[…]\n\ncould leak a stale [PersonaName] prefix onto Code mode's log lines,\ncorrupting any log-line parser expecting a plain [CodeAgent] tag.\nCodeAgent now resets persona context at the start of its own run.",
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          "headline": "Conversation title generation bug fix",
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          "headline": "Bump version to 0.3.50, add release notes",
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          "body": "…models\n\n1. Conversation metadata for code-mode tasks. ConversationMetadata\n   (unified into storage/types.ts — it was previously duplicated with\n   a second, drifting copy in conversation-manager.ts, which is now\n   just a re-export) gains mcpServers, maxIterations, and harness.\n   harness is a fre\n[…]\n byte-for-byte\n   identical. Verified end-to-end: replacing one section left the\n   others untouched, and the zero-match/multiple-match error paths\n   behave the same as the existing exact-match mode.",
          "is_bot": false,
          "headline": "Record code-mode task context; skeleton-first guidance for low-token …",
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          "body": "…rough\n\nSarvam's standard plan caps requests at 40/min and output at 4096\ntokens. Two fixes, both model-agnostic (not Sarvam-specific):\n\n1. Proactive rate limiting — ModelClientConfig gains\n   maxRequestsPerMinute. ModelClient tracks request timestamps in a\n   trailing 60s window and waits BEFORE se\n[…]\nreal Sarvam endpoint to observe live\n429 behavior, but the provided test key had no credits\n(insufficient_quota_error) — implemented based on documented behavior\nand standard HTTP conventions instead.",
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          "headline": "Add model-agnostic rate limiting; fix missing defaultMaxTokens passth…",
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          "body": "Jiva's CLI config previously lived at a platform-specific location via\nthe conf package's default resolution (~/Library/Preferences/jiva-nodejs\non macOS, %APPDATA%/jiva-nodejs/Config on Windows, ~/.config/jiva-nodejs\non Linux) - a different file entirely from what the local (non-cloud)\nHTTP interfac\n[…]\nas\nauthoritative and migration is skipped on all subsequent runs.\n\nThe CLI prints the migration result on the next jiva invocation\n(console.log); the HTTP interface logs it via logger.warn on startup.",
          "is_bot": false,
          "headline": "Store config.json in ~/.jiva for all interfaces, migrate legacy configs",
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          "body": "v0.3.49 added hasVision support for reasoning/tool-calling models, but\nthe CLI setup wizard never asked for it — the flag could only be set\nby hand-editing config.json.\n\nAdds src/utils/vision-detection.ts: matches a model name against known\nvision-capable model families (Llama 4 Maverick/Scout, Qwen\n[…]\nand tool-calling model setup flows, defaulting to the\ndetection result and showing the matched reason (e.g. 'Llama 4\nMaverick supports vision'). Also added a Vision: Yes/No line to\njiva config --show.",
          "is_bot": false,
          "headline": "Auto-detect vision capability during setup, prompt y/n to confirm",
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          "body": "Covers the three fixes just cherry-picked onto develop: Manager\ndouble system-message crash on strict providers (Qwen3.6), CodeAgent\ngiving up early due to a compaction deadlock, and hasVision support\nfor reasoning/tool-calling models with native vision.",
          "is_bot": false,
          "headline": "Bump version to 0.3.49, add release notes",
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          "body": "…ations\n\nRoot cause: in-loop context compaction was gated on the response having\ntool calls (`response.toolCalls && response.toolCalls.length > 0`).\nThis created a deadlock — once the model starts returning truly empty\nresponses (no content, no tool calls), that gate can never be true\nagain, so cont\n[…]\nlem on the next attempt. CodeAgent now forces an immediate\n  compaction in that case (bypassing the normal token threshold) and\n  uses a shorter, more direct recovery nudge instead of the generic one.",
          "is_bot": false,
          "headline": "Fix CodeAgent giving up after 4 empty responses despite ample maxIter…",
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          "oid": "a9ef79eb6219f819e6e35200da01eb83f5fdb9d0",
          "body": "…te multimodal model\n\nSome providers (e.g. Groq's llama-4-maverick, Krutrim's vision-enabled\nmodels) offer a single model that handles both reasoning and vision,\nmaking the separate dedicated multimodal-model configuration and its\nimage-captioning detour unnecessary and wasteful for those setups.\n\nA\n[…]\n delegate entirely to\nModelOrchestrator.chat()/chatWithFallback(), so fixing routing at the\norchestrator is sufficient for both to pick up native vision support\nwith no changes needed in either agent.",
          "is_bot": false,
          "headline": "Support vision-capable reasoning/tool-calling models without a separa…",
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          "oid": "2bfa5054e1cbe865b37e4b6efe7c38fe68f486c9",
          "body": "…ding system message\n\ngetSystemMessages() previously appended the directive as a second\n'developer'-role message when one was present, which becomes a second\n'system' message after role conversion. Some providers (e.g. Krutrim's\nQwen3.6) reject any request where the system message isn't first/only,\n\n[…]\n— merging the directive\ninto the single system message is safe for every provider and fixes\nthe double-message issue for providers stricter than Krutrim's\ngpt-oss-120b (which happened to tolerate it).",
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          "headline": "Fix Manager double system-message on providers requiring a single lea…",
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          "headline": "Merge pull request #53 from KarmaloopAI/develop",
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          "body": "…onfiguration works with Jiva",
          "is_bot": false,
          "headline": "Built-in Benchmarking suite to quickly test out how well your model c…",
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          "body": "…gle ADC support\n\n- Fix Groq 400 error when image-only tool results produce empty tool message content\n- Isolate manager synthesis from planning context to prevent JSON bleed-through\n- Add rawHarmonyContent to ModelResponse so Harmony providers see their own tokens in history\n- Parse Vertex AI Harmo\n[…]\nsession-manager\n- Fix model || defaultModel fallback in CLI model client construction\n- Bump default sub-agent maxIterations from 10 to 20\n- Rename JIVA_STORAGE_PROVIDER default from gcp to gcp-bucket",
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          "headline": "Fix multimodal empty tool content, Harmony/Vertex AI parsing, and Goo…",
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          "headline": "Improved worker agent",
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          "headline": "Merge pull request #48 from KarmaloopAI/develop",
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          "headline": "Updated documentation and a guide to harnesses",
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                "key": "openssf_scorecard_signed_releases",
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            "key": "abandonment",
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                "key": "watchers",
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          },
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            "notes": [],
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                  {
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                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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            "key": "stewardship",
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            "inputs": {
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                "key": "verified_domain",
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                "key": "owner_reach",
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        ],
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        ],
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              },
              {
                "key": "dependency_update_tool",
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                "key": "fuzzing",
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              },
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                "key": "maintained",
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              },
              {
                "key": "packaging",
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                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
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              },
              {
                "key": "sast",
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              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 0,
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
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}