{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-task-driven-autonomous-agent","slug":"task-driven-autonomous-agent","name":"Task-Driven Autonomous Agent","type":"agent","url":"https://twitter.com/yoheinakajima/status/1640934493489070080?s=20","page_url":"https://unfragile.ai/task-driven-autonomous-agent","categories":["productivity"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"inactive","verified":false},"capabilities":[{"id":"awesome-task-driven-autonomous-agent__cap_0","uri":"capability://planning.reasoning.objective.driven.task.generation.from.execution.results","name":"objective-driven task generation from execution results","description":"Generates new tasks dynamically by analyzing the output and state of previously completed tasks against a user-defined objective. Uses a feedback loop where each task result becomes input context for determining the next task, creating a chain of dependent work items. The agent maintains task lineage and result history to inform subsequent task generation decisions.","intents":["I want an agent to break down a complex goal into subtasks automatically based on what it learns from each step","I need the agent to adapt its task plan based on intermediate results rather than following a static sequence","I want to define an end goal and have the agent figure out the sequence of work needed to achieve it"],"best_for":["autonomous workflow designers building self-improving task pipelines","teams implementing goal-oriented agents without predefined task sequences","researchers prototyping adaptive planning systems"],"limitations":["No built-in convergence detection — agent may generate infinite task chains without explicit termination criteria","Task generation quality depends entirely on objective clarity; vague goals produce unfocused task sequences","No native rollback or task dependency management — failed tasks don't automatically trigger recovery paths","Requires careful prompt engineering to prevent task hallucination or circular task dependencies"],"requires":["LLM API access (OpenAI, Anthropic, or compatible)","Clearly defined objective statement","Task execution environment or function registry","Context window sufficient for task history (8K+ tokens recommended)"],"input_types":["text (objective statement)","structured task results (JSON/dict with execution output)","execution context (previous task history)"],"output_types":["structured task objects (name, description, parameters)","task queue or priority list","execution plan with task dependencies"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-task-driven-autonomous-agent__cap_1","uri":"capability://automation.workflow.task.execution.orchestration.with.result.capture","name":"task execution orchestration with result capture","description":"Executes generated tasks and captures their outputs in a structured format that feeds back into the task generation loop. Manages task invocation, monitors execution state, and stores results with metadata (success/failure, execution time, output artifacts). Results are formatted and contextualized for the next task generation iteration.","intents":["I need to run generated tasks and feed their results back into the planning loop","I want to track what each task produced so the agent can reason about next steps","I need reliable execution with error handling so failed tasks don't break the entire workflow"],"best_for":["developers building agent orchestration systems with external tool integration","teams implementing multi-step autonomous workflows","systems requiring audit trails of task execution and results"],"limitations":["No native retry logic or exponential backoff — failed task execution halts the chain unless explicitly handled","Result capture assumes structured output; unstructured or streaming results require custom serialization","No built-in timeout management — long-running tasks can block subsequent task generation","Limited error context propagation — failures don't automatically inform task generation about root causes"],"requires":["Task execution environment (local, containerized, or API-based)","Function registry or tool definitions with clear input/output schemas","Result serialization mechanism (JSON, structured logging)","State management for task history and execution logs"],"input_types":["task objects (name, description, parameters)","execution context (environment variables, API keys)","tool/function definitions"],"output_types":["execution results (success/failure status)","task output artifacts (text, data, files)","execution metadata (duration, resource usage, logs)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-task-driven-autonomous-agent__cap_2","uri":"capability://planning.reasoning.objective.conditioned.task.prioritization.and.filtering","name":"objective-conditioned task prioritization and filtering","description":"Evaluates generated tasks against the stated objective to determine which tasks are most relevant, necessary, or likely to advance progress toward the goal. Filters out redundant, circular, or off-objective tasks before execution. Uses the objective as a scoring function to rank task candidates and select the highest-impact next task.","intents":["I want the agent to focus on tasks that actually move toward the goal, not get distracted","I need to filter out duplicate or circular tasks that would waste execution cycles","I want the agent to prioritize high-impact tasks when multiple options are available"],"best_for":["autonomous agents operating in resource-constrained environments","systems where task execution has real cost (API calls, compute)","teams building goal-oriented agents that need to avoid task loops"],"limitations":["Objective alignment scoring is heuristic-based and may miss valid tasks that don't directly mention the objective","No semantic deduplication — tasks with different wording but identical intent may both be executed","Filtering decisions are irreversible — rejected tasks aren't revisited even if later context suggests they were needed","Requires well-defined objectives; ambiguous goals produce inconsistent filtering behavior"],"requires":["Clear, measurable objective statement","Task generation producing structured task candidates","Scoring function or LLM-based evaluation capability","Task metadata (name, description, expected impact)"],"input_types":["objective statement (text)","task candidates (structured list)","execution history and results"],"output_types":["filtered task queue (prioritized)","task scores or relevance ratings","rejection reasons for filtered tasks"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-task-driven-autonomous-agent__cap_3","uri":"capability://planning.reasoning.iterative.task.chain.execution.with.convergence.detection","name":"iterative task chain execution with convergence detection","description":"Manages the loop of task generation → execution → result analysis → next task generation, continuing until an objective is achieved or a termination condition is met. Tracks task history and execution state across iterations to detect convergence (goal achieved), stagnation (repeated tasks), or divergence (moving away from objective). Implements loop control logic to prevent infinite execution.","intents":["I want the agent to keep working on a goal until it's actually achieved, not stop after one task","I need the agent to recognize when it has achieved the objective and stop automatically","I want to detect when the agent is stuck in a loop and needs to break out or reset"],"best_for":["autonomous agents with long-running workflows","systems where task sequences are unknown upfront","teams implementing self-improving or adaptive agents"],"limitations":["Convergence detection requires explicit success criteria — implicit or subjective goals don't trigger termination","No built-in loop detection; agents may execute identical tasks multiple times before recognizing stagnation","Iteration limits are crude — hard caps on iterations may terminate before objectives are achieved","No mechanism to escape local optima — agent may converge to suboptimal solutions"],"requires":["Objective with measurable success criteria","Task generation and execution pipeline","State tracking across iterations (task history, results)","Termination condition definition (success criteria, max iterations, timeout)"],"input_types":["objective statement","initial task context","execution results from previous iterations"],"output_types":["final result or artifact","execution trace (all tasks and results)","termination reason (success, max iterations, timeout, error)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-task-driven-autonomous-agent__cap_4","uri":"capability://planning.reasoning.context.aware.task.generation.with.execution.history","name":"context-aware task generation with execution history","description":"Generates tasks by conditioning on the full execution history (previous tasks, their results, and outcomes) rather than just the current state. Uses task results as rich context for understanding what has been attempted, what succeeded, what failed, and what gaps remain. Encodes this history into the prompt or context window to inform task generation decisions.","intents":["I want the agent to learn from what it has already tried and not repeat failed approaches","I need the agent to understand the cumulative progress toward the goal based on all previous work","I want task generation to be informed by the full history of what has been attempted"],"best_for":["long-running autonomous workflows where history matters","agents learning from execution patterns","systems where task dependencies span multiple iterations"],"limitations":["Context window limits prevent storing full history for long-running workflows — older tasks are forgotten","History encoding is lossy — summarization of old results may lose important details","No semantic compression — task history grows linearly with execution length","Requires careful history formatting to avoid overwhelming the LLM with irrelevant context"],"requires":["LLM with sufficient context window (8K+ tokens)","Task history storage and retrieval","Result serialization and formatting","Context management strategy (full history, sliding window, or summarization)"],"input_types":["task history (list of previous tasks)","execution results (outputs and outcomes)","objective statement"],"output_types":["new task candidates","task rationale (why this task is needed)","task parameters informed by history"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-task-driven-autonomous-agent__cap_5","uri":"capability://planning.reasoning.objective.decomposition.and.sub.goal.identification","name":"objective decomposition and sub-goal identification","description":"Analyzes a high-level objective to identify intermediate sub-goals or milestones that must be achieved to reach the final objective. Breaks down complex objectives into smaller, more tractable goals that can guide task generation. Uses the objective hierarchy to structure task sequences and provide intermediate success criteria.","intents":["I want to give the agent a complex goal and have it figure out what sub-goals need to be achieved first","I need intermediate milestones to track progress toward a large objective","I want the agent to understand the dependency structure of the objective"],"best_for":["complex, multi-step objectives that require planning","systems where intermediate progress tracking is important","agents operating on long-horizon tasks"],"limitations":["Sub-goal decomposition is heuristic and may miss critical dependencies","No validation that identified sub-goals are actually sufficient to achieve the objective","Decomposition is static — sub-goals don't adapt if execution reveals new constraints","Requires sufficient objective clarity; vague objectives produce poor decompositions"],"requires":["Clear, structured objective statement","LLM capability for planning and decomposition","Sub-goal representation format"],"input_types":["objective statement (text)","domain context or constraints"],"output_types":["sub-goal hierarchy","intermediate milestones","success criteria for each sub-goal"],"categories":["planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":20,"verified":false,"data_access_risk":"low","permissions":["LLM API access (OpenAI, Anthropic, or compatible)","Clearly defined objective statement","Task execution environment or function registry","Context window sufficient for task history (8K+ tokens recommended)","Task execution environment (local, containerized, or API-based)","Function registry or tool definitions with clear input/output schemas","Result serialization mechanism (JSON, structured logging)","State management for task history and execution logs","Clear, measurable objective statement","Task generation producing structured task candidates"],"failure_modes":["No built-in convergence detection — agent may generate infinite task chains without explicit termination criteria","Task generation quality depends entirely on objective clarity; vague goals produce unfocused task sequences","No native rollback or task dependency management — failed tasks don't automatically trigger recovery paths","Requires careful prompt engineering to prevent task hallucination or circular task dependencies","No native retry logic or exponential backoff — failed task execution halts the chain unless explicitly handled","Result capture assumes structured output; unstructured or streaming results require custom serialization","No built-in timeout management — long-running tasks can block subsequent task generation","Limited error context propagation — failures don't automatically inform task generation about root causes","Objective alignment scoring is heuristic-based and may miss valid tasks that don't directly mention the objective","No semantic deduplication — tasks with different wording but identical intent may both be executed","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.12,"ecosystem":0.25,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"inactive","updated_at":"2026-06-17T09:51:04.050Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=task-driven-autonomous-agent","compare_url":"https://unfragile.ai/compare?artifact=task-driven-autonomous-agent"}},"signature":"JbQQWoYwR477odLoU6bKl2+4Zg9r/dCdY0Sz5YMRQfdpk8kKzxMPoQp8zKp6WlzS3JizX407jlePRruwG7hSCA==","signedAt":"2026-06-21T16:48:38.278Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/task-driven-autonomous-agent","artifact":"https://unfragile.ai/task-driven-autonomous-agent","verify":"https://unfragile.ai/api/v1/verify?slug=task-driven-autonomous-agent","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}