{"adoption": {"forks": 127, "observed_at": "2026-08-28T04:03:21.224356+00:00", "stars": 1044}, "canonical_url": "https://ross.abutalabs.com/products/pydantic-deepagents", "card": {"archived": false, "artifact_type": "framework", "description": "Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.", "domain": ["artificial-intelligence", "large-language-models", "developer-tools"], "enriched": true, "function": ["agent-framework", "llm-inference", "cli", "mcp", "chatbot", "developer-tools", "terminal-ui"], "health_score": 99, "homepage": "https://vstorm-co.github.io/pydantic-deepagents/", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["vstorm-co/pydantic-deepagents"], "name": "vstorm-co/pydantic-deepagents", "platform": ["python", "cli", "cross-platform", "self-hosted"], "pushed_at": "2026-08-22T14:57:43+00:00", "repo": "vstorm-co/pydantic-deepagents", "stars": 1044, "tags": ["claude-code-alternative", "pydantic-ai", "coding-agent", "subagents", "docker-sandbox", "deep-research", "tui", "tool-calling", "checkpoints", "unlimited-context", "ai-agents", "command-line", "automation", "docker"], "topics": ["pydantic-ai", "agent-framework", "pydantic", "python", "anthropic", "llms", "mcp", "ai-agents", "subagents", "claude-code", "cli", "coding-agent", "deep-research", "docker-sandbox", "playwright", "tui", "vstorm"], "urls": [], "use_cases": ["self-hosted open-source alternative to Claude Code", "build an AI coding agent in Python", "run a terminal AI assistant with any LLM", "orchestrate multi-agent teams with subagents", "execute agent code in a sandboxed Docker environment", "handle conversations longer than the model context window", "add MCP tools and web browsing to an AI agent"], "what_it_is": "Pydantic Deep Agents is an open-source, self-hosted terminal AI assistant (a Claude Code alternative) plus the Python framework behind it, built on Pydantic AI. It provides tool-calling, sandboxed execution, multi-agent teams, memory, checkpoints, and unlimited context handling with any supported LLM.", "when_to_avoid": ["you need a polished commercial coding assistant with vendor support", "you want a no-code or GUI-only agent builder", "you're not working in Python or don't want a framework dependency"], "when_to_choose": ["you want a self-hosted, model-agnostic Claude Code alternative", "you're building agents in Python and want type-safe, batteries-included tooling on Pydantic AI", "you need filesystem, shell, web, memory, and sub-agents out of the box", "you need sandboxed execution and human-in-the-loop approval gates"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/pydantic-deepagents", "repo": "vstorm-co/pydantic-deepagents", "role": "main", "score": 78}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.224356+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:02:16.252214+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "75ce529f0867be354334c4697a111030b5a556adfb3239d4b244a554b432e6ee", "fetched_at": "2026-08-28T04:03:21.224356+00:00", "kind": "readme", "missing": false, "url": "https://github.com/vstorm-co/pydantic-deepagents"}, {"content_hash": "e7c58388fe789acfd9518effa0778f8833be727f6c49ac38c43beaee79c72320", "fetched_at": "2026-08-29T13:03:34.732498+00:00", "kind": "homepage", "missing": false, "url": "https://vstorm-co.github.io/pydantic-deepagents/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 19, "rhythm": 84}, "computed_at": "2026-09-03T02:39:23.370411+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 277, "days_push": 11, "days_rel": 28, "gap_med": 1, "n_releases_24m": 66}, "score": 78, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}